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Formal implementation of a performance evaluation model for the face recognition system.
Shin, Yong-Nyuo; Kim, Jason; Lee, Yong-Jun; Shin, Woochang; Choi, Jin-Young.
Afiliación
  • Shin YN; Korea Information Security Agency, 78 Karak-dong, Songpa-gu, Seoul 138-160, South Korea. ynshin@kisa.or.kr
J Biomed Biotechnol ; 2008: 742504, 2008.
Article en En | MEDLINE | ID: mdl-18317524
Due to usability features, practical applications, and its lack of intrusiveness, face recognition technology, based on information, derived from individuals' facial features, has been attracting considerable attention recently. Reported recognition rates of commercialized face recognition systems cannot be admitted as official recognition rates, as they are based on assumptions that are beneficial to the specific system and face database. Therefore, performance evaluation methods and tools are necessary to objectively measure the accuracy and performance of any face recognition system. In this paper, we propose and formalize a performance evaluation model for the biometric recognition system, implementing an evaluation tool for face recognition systems based on the proposed model. Furthermore, we performed evaluations objectively by providing guidelines for the design and implementation of a performance evaluation system, formalizing the performance test process.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Reconocimiento de Normas Patrones Automatizadas / Inteligencia Artificial / Interpretación de Imagen Asistida por Computador / Biometría / Técnica de Sustracción / Cara Tipo de estudio: Diagnostic_studies / Guideline / Prognostic_studies Límite: Humans Idioma: En Revista: J Biomed Biotechnol Asunto de la revista: BIOTECNOLOGIA / MEDICINA Año: 2008 Tipo del documento: Article País de afiliación: Corea del Sur Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Reconocimiento de Normas Patrones Automatizadas / Inteligencia Artificial / Interpretación de Imagen Asistida por Computador / Biometría / Técnica de Sustracción / Cara Tipo de estudio: Diagnostic_studies / Guideline / Prognostic_studies Límite: Humans Idioma: En Revista: J Biomed Biotechnol Asunto de la revista: BIOTECNOLOGIA / MEDICINA Año: 2008 Tipo del documento: Article País de afiliación: Corea del Sur Pais de publicación: Estados Unidos