Biometrics of the Hand's Middle Finger to Determine Stature in Chilean University Students / Biometría del Dedo Medio de la Mano para Determinar Estatura en Estudiantes Universitarios Chilenos

SUMMARY: Biometrics and forensic osteology play a significant role in human identification, as the morphological uniqueness of every individual enables the differentiation and recognition of skeletal remains. Through meticulous analysis of human remains, it is possible to determine key demographic attributes such as stature, a significant parameter in the forensic identification process. This information is of practical relevance for the identification of individuals in contexts such as disasters, vehicular accidents, terrorist attacks, armed conflicts, and forensic investigations. The objective of this study was to determine the correlation between the hand's middle finger length and stature in a group of Chilean students. A total of 211 students of both sexes from La Araucanía region, Chile, participated in the study. After obtaining informed consent to participate voluntarily in the study, each individual underwent a general anthropometric examination, followed by a specific assessment of the length of the middle finger (MFL) of both hands. The results of the multiple linear regression analysis indicated a significant prediction of stature using the length of the right (R-MFL) and left (L-MFL) middle fingers, F (2, 207) = 79.80, p < 0.001. The equations for estimating stature based on the length of the middle fingers are as follows: for R-MFL, Stature = 91.265 + (8.092 x R-MFL), and for L-MFL, Stature = 83.967 + (8.889 x L-MF). Based on these results, it was found that the length of the middle finger of both hands is predictive of stature.

La biometría y la osteología forense desempeñan un papel relevante en la identificación humana, dado que la singularidad morfológica de cada individuo permite la diferenciación y reconocimiento de restos óseos. Mediante el análisis meticuloso de los restos humanos, es posible determinar atributos demográficos clave como la estatura, un parámetro significativo en el proceso de identificación forense. Esta información posee relevancia práctica para la identificación de personas en contextos de desastres, accidentes vehiculares, ataques terroristas, conflictos armados e investigaciones forenses. El objetivo de este estudio fue determinar la correlación entre la longitud del dedo medio de la mano con la estatura, en un grupo de estudiantes chilenos. Se evaluaron 211 estudiantes de ambos sexos de la región de La Araucanía, Chile. Tras obtener el consentimiento informado para participar voluntariamente en el estudio, se sometió a cada individuo a un examen antropométrico general, seguido de una evaluación específica de la longitud del dedo medio (MFL) de ambas manos. Los resultados del análisis de las regresiones lineales múltiples indicaron una significativa predicción de estatura utilizando la longitud de los dedos medios derecho (R-MFL) e izquierdo (L-MFL), F (2, 207) = 79.80, p < 0.001. Las ecuaciones para estimar estatura basados en la longitud de los dedos medios son las siguientes: para R-MFL, Stature = 91.265 + (8.092 x R-MFL) y para L-MFL, Stature = 83.967 + (8.889 x L- MF). A partir de estos resultados, se encontró que la longitud del dedo medio de ambos manos es predictora de estatura.

Study of Lip Conditions Associated with Lip Print Patterns: A New Perspective on Cheiloscopy / Estudio de Afecciones Labiales Asociadas a sus Patrones de Huellas: Una Nueva Perspectiva en Queiloscopía

SUMMARY: Although almost all studies exclude lip conditions because they would affect furrow patterns, some authors maintain that they should be considered temporary or permanent disabilities, all of which require further research in this context.We present a study in which we associate lip conditions with lip print patterns to associate both morphological elements for fieldwork purposes. Fifty-seven women and 48 men aged between 19 and 38 years who resided in Temuco (Chile) were included. The lip conditions and their prints were recorded, and an analysis, comparison, evaluation, and verification protocol (ACE-V) for lip prints was applied. Of the participants, 27.4 % had healthy lips, while 71.7 % had some type of condition. Although patterns related to temporary and permanent lip conditions were recognized in the lip prints in a non-significant way, the diagnosis of "healthy" or "altered" lip status could be made significantly by a calibrated examiner. Although these conditions do not represent identifying variables without empirical studies to validate them, they can affect the quality of the evaluated lip print; therefore, they should be recognized during the analyses considering the prevalence of these conditions.

Aunque casi todos los estudios excluyen las afecciones labiales pues afectarían los patrones de sus surcos y huellas, algunos autores sostienen que deben ser consideradas alteraciones temporales o permanentes, por lo que se requiere mayor investigación en este aspecto. Se presenta un estudio en el que se asocian afecciones labiales con sus patrones de huellas para evaluar conjuntamente ambos elementos morfológicos con fines de trabajo forense de campo. Se incluyeron 57 mujeres y 48 hombres con edades entre 19 y 38 años residentes en Temuco (Chile). Se registraron las afecciones de los labios y sus huellas, y se aplicó un protocolo de análisis, comparación, evaluación y verificación (ACE-V) para las huellas labiales. De los participantes, el 27,4 % tenía labios sanos, mientras que el 71,7 % presentaba algún tipo de afección. Aunque los patrones relacionados con afecciones labiales temporales y permanentes se reconocieron en las huellas labiales de manera no significativa, un examinador calibrado podría realizar significativamente el diagnóstico de estado labial "sano" o "alterado". Si bien estas condiciones no representan variables de identificación sin estudios empíricos que las validen, pueden afectar la calidad de la impresión labial evaluada; por lo tanto, deben ser reconocidos durante los análisis considerando la prevalencia de estas condiciones.

Ferramentas e Protocolos Utilizados na Perícia Criminal Relacionados à Voz: Revisão de Literatura / Tools and Protocols Used in Criminal Skills Related to Voice: Literature Review / Herramientas y Protocolos Utilizados en la Experiencia Criminal Relacionados a la Voz: Revisión de Literatura

A perícia criminal tem como objetivo compor provas para esclarecer crimes, sendo que na Fonoaudiologia, dentre as possibilidades de ação, a perícia fonética relacionada à voz pode ser uma destas ferramentas. Objetivo: Verificar quais as ferramentas ou protocolos utilizados pelos profissionais brasileiros para a realização da perícia forense fonética relacionada aos parâmetros vocais. Método: Pesquisa de revisão bibliográfica integrativa a partir da consulta isolada e combinada dos descritores em ciências da saúde: medicina legal, voz, perícia criminal, crimes e fonoaudiologia nos bancos de dados Lilacs, Scielo, Google Scholar, Open Grey e Open Thesis. Resultados: De 457 acervos, oito foram selecionados para leitura na íntegra. A identificação de um criminoso através da voz tem sido realizada nas perícias forenses tendo em vista que a voz apresenta características possíveis de comparação, principalmente a frequência fundamental, os formantes das vogais, o voice onset time. Cuidados quanto ao registro devem ser efetivados para que as provas não sejam excluídas dos processos criminais, sendo analisadas de forma imparcial. É uma área recente na Fonoaudiologia que carece de publicações na área. Conclusão: Os recursos utilizados na perícia forense fonética relacionada aos parâmetros vocais vão desde o profissional capacitado, de diferentes áreas do conhecimento (Linguística, Fonoaudiologia, Engenharia, Direito etc.) até o uso de softwares que possam comparar a voz de diferentes falantes. Há escassez de literatura e o exercício de tal prática requer capacitação profissional interdisciplinar.

The criminal investigation aims to compose evidence to clarify crimes, and in Speech Therapy, among the possibilities of action, voice-related phonetic expertise may be one of these tools. Objective: To verify the tools or protocols used by Brazilian professionals to perform phonetic forensics related to vocal parameters. Method: Research of integrative bibliographic review from the isolated and combined consultation of the descriptors in health sciences: legal medicine, voice, criminal expertise, crimes and speech therapy in the Lilacs, Scielo, Google Scholar, Open Gray and Open Thesis databases. Results: Of 457 collections, eight were selected for reading in their entirety. The identification of a criminal through the voice has been carried out in forensic examinations since the voice presents possible characteristics of comparison, mainly the fundamental frequency, the vowels formants, the voice onset time. Registration care must be carried out so that the evidence is not excluded from criminal prosecution, being analyzed in an impartial manner. It is a recent area in Speech Therapy that lacks publications in the area. Conclusion: The resources used in phonetic forensic expertise related to vocal parameters range from the qualified professional, from different areas of knowledge (Linguistics, Speech Therapy, Engineering, Law, etc.) to the use of software that can compare the voice of different speakers. There is a shortage of literature and the practice of such practice requires interdisciplinary professional training.

La pericia criminal tiene como objetivo componer pruebas para aclarar crímenes, siendo que en la Fonoaudiología, entre las posibilidades de acción, la pericia fonética relacionada a la voz puede ser una de estas herramientas. Objetivo: Verificar cuáles son las herramientas o protocolos utilizados por los profesionales brasileños para la realización de la pericia forense fonética relacionada a los parámetros vocales. En el presente trabajo se analizaron los resultados obtenidos en el estudio de los resultados obtenidos en el estudio de los resultados obtenidos en el estudio. Resultados: De 457 acervos, ocho fueron seleccionados para lectura en su totalidad. La identificación de un criminal a través de la voz ha sido realizada en las pericias forenses teniendo en vista que la voz presenta características posibles de comparación, principalmente la frecuencia fundamental, los formantes de las vocales, el voice onset time. Los cuidados en cuanto al registro deben ser efectivos para que las pruebas no sean excluidas de los procesos criminales, siendo analizadas de forma imparcial. Es un área reciente en la Fonoaudiología que carece de publicaciones en el área. Conclusión: Los recursos utilizados en la pericia forense fonética relacionada a los parámetros vocales van desde el profesional capacitado, de diferentes áreas del conocimiento (Lingüística, Fonoaudiología, Ingeniería, Derecho, etc.) hasta el uso de softwares que puedan comparar la voz de diferentes hablantes. Hay escasez de literatura y el ejercicio de tal práctica requiere una capacitación profesional interdisciplinaria.

Phacoemulsification Cataract Surgery Affects the Discriminative Capacity of Iris Pattern Recognition.

Cataract is a common ophthalmic disorder and the leading cause of blindness worldwide. While cataract is cured via surgical procedures, its impact on iris based biometric recognition has not been effectively studied. The key objective of this research is to assess the effect of cataract surgery on the iris texture pattern as a means of personal authentication. We prepare and release the IIITD Cataract Surgery Database (CaSD) captured from 132 cataract patients using three commercial iris sensors. A non-comparative non-randomized cohort study is performed on the iris texture patterns in CaSD and authentication performance is studied using three biometric recognition systems. Performance is lower when matching pre-operative images to post-operative images (74.69 ± 9.77%) as compared to matching pre-operative images to pre-operative images (93.42 ± 1.76%). 100% recognition performance is observed on a control-group of healthy irises from 68 subjects. Authentication performance improves if cataract affected subjects are re-enrolled in the system, though re-enrollment does not ensure performance at par with pre-operative scenarios (86.67 ± 5.64%). The results indicate that cataract surgery affects the discriminative nature of the iris texture pattern. This finding raises concerns about the reliability of iris-based biometric recognition systems in the context of subjects undergoing cataract surgery.

A Facial Recognition Mobile App for Patient Safety and Biometric Identification: Design, Development, and Validation.

BACKGROUND: Patient verification by unique identification is an important procedure in health care settings. Risks to patient safety occur throughout health care settings by failure to correctly identify patients, resulting in the incorrect patient, incorrect site procedure, incorrect medication, and other errors. To avoid medical malpractice, radio-frequency identification (RFID), fingerprint scanners, iris scanners, and other technologies have been implemented in care settings. The drawbacks of these technologies include the possibility to lose the RFID bracelet, infection transmission, and impracticality when the patient is unconscious. OBJECTIVE: The purpose of this study was to develop a mobile health app for patient identification to overcome the limitations of current patient identification alternatives. The development of this app is expected to provide an easy-to-use alternative method for patient identification. METHODS: We have developed a facial recognition mobile app for improved patient verification. As an evaluation purpose, a total of 62 pediatric patients, including both outpatient and inpatient, were registered for the facial recognition test and tracked throughout the facilities for patient verification purpose. RESULTS: The app was developed to contain 5 main parts: registration, medical records, examinations, prescriptions, and appointments. Among 62 patients, 30 were outpatients visiting plastic surgery department and 32 were inpatients reserved for surgery. Whether patients were under anesthesia or unconscious, facial recognition verified all patients with 99% accuracy even after a surgery. CONCLUSIONS: It is possible to correctly identify both outpatients and inpatients and also reduce the unnecessary cost of patient verification by using the mobile facial recognition app with great accuracy. Our mobile app can provide valuable aid to patient verification, including when the patient is unconscious, as an alternative identification method.

Identificación Mediante Huellas Labiales: Casos Paradigmáticos, Oportunidades Perdidas y "Anomalías" para la Construcción de un Nuevo Paradigma / Lip Print Identification: Paradigm Case Argument, Lost Opportunities and "Anomalies" for the Construction of a New Paradigm

RESUMEN: El análisis de huellas labiales con fines de identificación criminal ha sido denominado Queiloscopía, especialidad de la odontología forense que se ha sustentado en las supuestas unicidad, perennidad y clasificabilidad de los patrones de surcos labiales. En la actualidad, dos elementales corrientes parecen representar la realidad de la queiloscopía en el mundo forense: mientras algunos casos han demarcado su construcción estableciendo un paradigma de gran poder en la segunda mitad del siglo XX, la insuficiencia técnica en algunos casos o la presencia de nuevos estándares jurídicos en otros han puesto en jaque a esta subdisciplina de la Odontología Forense. Se presenta una reevaluación de los paradigmas propuestos por esos casos, se exponen situaciones fallidas en ese tipo de manejo de evidencias y se presenta una proyección efectiva local a esta (aún) potencial herramienta de investigación criminal.

ABSTRACT: Lip print analysis for criminal identification has been called Cheiloscopy, a specialty of forensic odontology based on the alleged uniqueness, durability and classification of labial groove patterns. Presently, there are two basic claims that seem to make reference to Cheiloscopy in the forensic world: While some cases have distinctly marked its design by establishing a dominant paradigm during the second half of the 20th century, others have questioned this particular specialty of Forensic Odontology in view of technical shortcomings or new legal standards. In light of failed cases under this form of evidence management, a reevaluation of the paradigms, and a better use of this potentially effective mechanism in criminal investigation are proposed.

Deep facial analysis: A new phase I epilepsy evaluation using computer vision.

Semiology observation and characterization play a major role in the presurgical evaluation of epilepsy. However, the interpretation of patient movements has subjective and intrinsic challenges. In this paper, we develop approaches to attempt to automatically extract and classify semiological patterns from facial expressions. We address limitations of existing computer-based analytical approaches of epilepsy monitoring, where facial movements have largely been ignored. This is an area that has seen limited advances in the literature. Inspired by recent advances in deep learning, we propose two deep learning models, landmark-based and region-based, to quantitatively identify changes in facial semiology in patients with mesial temporal lobe epilepsy (MTLE) from spontaneous expressions during phase I monitoring. A dataset has been collected from the Mater Advanced Epilepsy Unit (Brisbane, Australia) and is used to evaluate our proposed approach. Our experiments show that a landmark-based approach achieves promising results in analyzing facial semiology, where movements can be effectively marked and tracked when there is a frontal face on visualization. However, the region-based counterpart with spatiotemporal features achieves more accurate results when confronted with extreme head positions. A multifold cross-validation of the region-based approach exhibited an average test accuracy of 95.19% and an average AUC of 0.98 of the ROC curve. Conversely, a leave-one-subject-out cross-validation scheme for the same approach reveals a reduction in accuracy for the model as it is affected by data limitations and achieves an average test accuracy of 50.85%. Overall, the proposed deep learning models have shown promise in quantifying ictal facial movements in patients with MTLE. In turn, this may serve to enhance the automated presurgical epilepsy evaluation by allowing for standardization, mitigating bias, and assessing key features. The computer-aided diagnosis may help to support clinical decision-making and prevent erroneous localization and surgery.

Recognition of children on age-different images: Facial morphology and age-stable features.

The situation of missing children is one of the most emotional social issues worldwide. The search for and identification of missing children is often hampered, among others, by the fact that the facial morphology of long-term missing children changes as they grow. Nowadays, the wide coverage by surveillance systems potentially provides image material for comparisons with images of missing children that may facilitate identification. The aim of study was to identify whether facial features are stable in time and can be utilized for facial recognition by comparing facial images of children at different ages as well as to test the possible use of moles in recognition. The study was divided into two phases (1) morphological classification of facial features using an Anthropological Atlas; (2) algorithm developed in MATLAB® R2014b for assessing the use of moles as age-stable features. The assessment of facial features by Anthropological Atlases showed high mismatch percentages among observers. On average, the mismatch percentages were lower for features describing shape than for those describing size. The nose tip cleft and the chin dimple showed the best agreement between observers regarding both categorization and stability over time. Using the position of moles as a reference point for recognition of the same person on age-different images seems to be a useful method in terms of objectivity and it can be concluded that moles represent age-stable facial features that may be considered for preliminary recognition.

Fluorescence- and magnetic-activated cell sorting strategies to separate spermatozoa involving plural contributors from biological mixtures for human identification.

No effective method has been developed to distinguish sperm cells originating from different men in multi-suspect sexual assault cases. Here we combined MACS and FACS to isolate single donor sperm cells from forensic mixture samples including female vaginal epithelial cells and sperm cells from multiple contributors. Sperms from vaginal swab were isolated by MACS using FITC-conjugated A kinase anchor protein 3 (AKAP3) antibody; target individual sperm cells involving two or three donors were separated by FACS using FITC-labeled blood group A/B antigen antibody. This procedure was further tested in two mock multi-suspect sexual assault samples and one practical casework sample. Our results showed that complete single donor STR profiles could be successfully obtained from sperm/epithelial cell and sperm mixtures from two contributors. For unbalanced sperm/epithelial cells and sperm cells mixtures, sensitivity results revealed that target cells could be detected at as low as 1:32 and 1:8 mixed ratios, respectively. Although highly relies on cell number and blood types or secretor status of the individuals, this procedure would still be useful tools for forensic DNA analysis of multi-suspect sexual assault cases by the combined use of FACS and MACS based on sperm-specific AKAP3 antigen and human blood type antigen.

A Fast and Accurate Unconstrained Face Detector.

We propose a method to address challenges in unconstrained face detection, such as arbitrary pose variations and occlusions. First, a new image feature called Normalized Pixel Difference (NPD) is proposed. NPD feature is computed as the difference to sum ratio between two pixel values, inspired by the Weber Fraction in experimental psychology. The new feature is scale invariant, bounded, and is able to reconstruct the original image. Second, we propose a deep quadratic tree to learn the optimal subset of NPD features and their combinations, so that complex face manifolds can be partitioned by the learned rules. This way, only a single soft-cascade classifier is needed to handle unconstrained face detection. Furthermore, we show that the NPD features can be efficiently obtained from a look up table, and the detection template can be easily scaled, making the proposed face detector very fast. Experimental results on three public face datasets (FDDB, GENKI, and CMU-MIT) show that the proposed method achieves state-of-the-art performance in detecting unconstrained faces with arbitrary pose variations and occlusions in cluttered scenes.

Control of origin of sesame oil from various countries by stable isotope analysis and DNA based markers--a pilot study.

The indication of origin of sesame seeds and sesame oil is one of the important factors influencing its price, as it is produced in many regions worldwide and certain provenances are especially sought after. We joined stable carbon and hydrogen isotope analysis with DNA based molecular marker analysis to study their combined potential for the discrimination of different origins of sesame seeds. For the stable carbon and hydrogen isotope data a positive correlation between both isotope parameters was observed, indicating a dominant combined influence of climate and water availability. This enabled discrimination between sesame samples from tropical and subtropical/moderate climatic provenances. Carbon isotope values also showed differences between oil from black and white sesame seeds from identical locations, indicating higher water use efficiency of plants producing black seeds. DNA based markers gave independent evidence for geographic variation as well as provided information on the genetic relatedness of the investigated samples. Depending on the differences in ambient environmental conditions and in the genotypic fingerprint, a combination of both analytical methods is a very powerful tool to assess the declared geographic origin. To our knowledge this is the first paper on food authenticity combining the stable isotope analysis of bio-elements with DNA based markers and their combined statistical analysis.

Plastic surgery and the biometric e-passport: implications for facial recognition.

This correspondence comments on the challenges of plastic reconstructive and aesthetic surgery on the facial recognition algorithms employed by biometric passports. The limitations of facial recognition technology in patients who have undergone facial plastic surgery are also discussed. Finally, the advice of the UK HM passport office to people who undergo facial surgery is reported.

Desenvolvimento corporal e relação entre biometria e peso de cordeiros lactantes da raça Santa Inês criados na Amazônia / Growth of Santa Inês lambs until weaning and relationship between biometric measurements and body weight, when raised in the Amazonia climate

Objetivou-se com este trabalho descrever as medidas biométricas de cordeiros lactantes da raça Santa Inês criados em condições amazônicas; estabelecer relação entre a idade e as medidas corporais; bem como correlacionar essas medidas biométricas com o peso corporal. Utilizaram-se 75 animais criados em sistema semi-intensivo, submetidos a mensurações do peso corporal (PC), comprimento corporal (CC), altura do anterior (AA) e do posterior (AP), perímetro torácico (PT), largura da garupa (LG) e do peito (LP), comprimento da perna (CP), perímetro da perna (PP) e compacidade corporal (COMPC), ao nascer e aos 15, 30, 45 e 60 dias de idade. Somente as medidas LG e PP demonstraram regressões com R2 abaixo de 0,70 em relação à idade dos cordeiros. Todas as medidas corporais utilizadas nesta pesquisa, individualmente, demonstraram r positivo com o peso corporal. As variáveis biométricas que melhor compuseram a equação de predição do peso dos cordeiros utilizados neste estudo foram CC, AP, PT, LG e PP. Concluiu-se que a idade de cordeiros pode ser utilizada como preditora do peso e de algumas medidas biométricas corporais e que o peso pode ser estimado por meio de algumas medidas biométricas...

This study aimed to 1) describe the biometric measurements of Santa Inês lambs until weaning, when raised in the Amazonia conditions; 2) establish the relationship between age and body measurements; and 3) correlate these biometric measurements to body weight. 75 animals submitted to semi-intensive breeding were used, and underwent measurements of body weight (BW), body length (BL), height of the forelimb (HF) and hindlimb (HH), thoracic perimeter (TP), width of rump (WR) and chest (WC), length of leg (LL), perimeter of leg (PL) and more body compacity (COMP), at birth and at 15, 30, 45 and 60 days of age. As a result, the WR and PL measurements demonstrated regressions with R2 below 0.70 in relation to age of lambs. All biometrical measurements used in this study individually demonstrated positive r with body weight. Biometric variables that compose the equation for predicting weight of lambs used in this study were BL, HH, TP, WR and PL. It was concluded that the age of lambs can be used as a predictor of weight and some body biometric measurements. The weight can also be estimated by some biometric measurements...

[Age-specific changes in the cerebral cortex capillaries].

The present paper reports an attempt to determine the biological age in man based on the results of the studies of the capillary bed of the cerebral cortex in different periods of postnatal ontogenesis (from 1 month to 83 years). The material was investigated by histological and histochemical methods. It is concluded that the data obtained concerning the structural and functional changes in the capillaries of different regions of the olfactory brain can be used for the personality identification for the purpose of forensic medical expertise.

Development of highly sensitive and specific mRNA multiplex system (XCYR1) for forensic human body fluids and tissues identification.

The identification of human body fluids or tissues through mRNA-based profiling is very useful for forensic investigations. Previous studies have shown mRNA biomarkers are effective to identify the origin of biological samples. In this study, we selected 16 tissue specific biomarkers to evaluate their specificities and sensitivities for human body fluids and tissues identification, including porphobilinogen deaminase (PBGD), hemoglobin beta (HBB) and Glycophorin A (GLY) for circulatory blood, protamine 2 (PRM2) and transglutaminase 4 (TGM4) for semen, mucin 4 (MUC4) and human beta defensin 1(HBD1) for vaginal secretion, matrix metalloproteinases 7 and 11 (MMP7 and MMP11) for menstrual blood, keratin 4(KRT4) for oral mucosa, loricrin (LOR) and cystatin 6 (CST6) for skin, histatin 3(HTN3) for saliva, statherin (STATH) for nasal secretion, dermcidin (DCD) for sweat and uromodulin (UMOD) for urine. The above mentioned ten common forensic body fluids or tissues were used in the evaluation. Based on the evaluation, a reverse transcription (RT) PCR multiplex assay, XCYR1, which includes 12 biomarkers (i.e., HBB, GLY, HTN3, PRM2, KRT4, MMP11, MUC4, DCD, UMOD, MMP7, TGM4, and STATH) and 2 housekeeping genes [i.e., glyceraldehyde-3-phosphate dehydrogenase (GAPDH) and 18SrRNA], was developed. This assay was further validated with real casework samples and mock samples (with both single source and mixture) and it was approved that XCYR1 is effective to identify common body fluids or tissues (i.e., circulatory blood, saliva, semen, vaginal secretion, menstrual blood, oral mucosa, nasal secretion, sweat and urine) in forensic casework samples.

Analysis of low-dimensional radio-frequency impedance-based cardio-synchronous waveforms for biometric authentication.

Over the past two decades, there have been a lot of advances in the field of pattern analyses for biomedical signals, which have helped in both medical diagnoses and in furthering our understanding of the human body. A relatively recent area of interest is the utility of biomedical signals in the field of biometrics, i.e., for user identification. Seminal work in this domain has already been done using electrocardiograph (ECG) signals. In this paper, we discuss our ongoing work in using a relatively recent modality of biomedical signals-a cardio-synchronous waveform measured using a Radio-Frequency Impedance-Interrogation (RFII) device for the purpose of user identification. Compared to an ECG setup, this device is noninvasive and measurements can be obtained easily and quickly. Here, we discuss the feasibility of reducing the dimensions of these signals by projecting onto various subspaces while still preserving interuser discriminating information. We compare the classification performance using classical dimensionality reduction methods such as principal component analysis (PCA), independent component analysis (ICA), random projections, with more recent techniques such as K-SVD-based dictionary learning. We also report the reconstruction accuracies in these subspaces. Our results show that the dimensionality of the measured signals can be reduced by 60 fold while maintaining high user identification rates.

Reliability of automatic biometric iris recognition after phacoemulsification or drug-induced pupil dilation.

PURPOSE: To investigate the reliability of a biometric iris recognition system for personal authentication after cataract surgery or iatrogenic pupil dilation. METHODS: This was a prospective, nonrandomized, single-center, cohort study for evaluating the performance of an iris recognition system 2-24 hours after phacoemulsification and intraocular lens implantation (group 1) and before and after iatrogenic pupil dilation (group 2). RESULTS: Of the 173 eyes that could be enrolled before cataract surgery, 164 (94.8%) were easily recognized postoperatively, whereas in 9 (5.2%) this was not possible. However, these 9 eyes could be reenrolled and afterwards recognized successfully. In group 2, of a total of 184 eyes that were enrolled in miosis, a total of 22 (11.9%) could not be recognized in mydriasis and therefore needed reenrollment. No single case of false-positive acceptance occurred in either group. CONCLUSIONS: The results of this trial indicate that standard cataract surgery seems not to be a limiting factor for iris recognition in the large majority of cases. Some patients (5.2% in this study) might need "reenrollment" after cataract surgery. Iris recognition was primarily successful in eyes with medically dilated pupils in nearly 9 out of 10 eyes. No single case of false-positive acceptance occurred in either group in this trial. It seems therefore that iris recognition is a valid biometric method in the majority of cases after cataract surgery or after pupil dilation.

[Fingerprints identification of radiotherapy patients]. / Mise en œuvre d'un dispositif d'identification biométrique en radiothérapie : l'expérience du centre Oscar-Lambret.

The identification of patient plays a key role in the quality and safety of radiotherapy. It does impact on all professional staff and on patients. After the regulatory authority approval (Cnil), a pilot study has been performed on 1901 patients. Acceptance has been very high (>93%) with a low risk of misidentification (<0.1%). The next step will be to implement and test a bimodal system in order to improve registration capacity and sensitivity.