Research on the local regional similarity of automatic fingerprint identification system fingerprints based on close non-matches in a ten million people database-Taking the central region of whorl as an example.

Li, Shuo; Li, Kang; Yang, Jun; Liu, Yiwen; Han, Wenqiang; Luo, Yaping

Li, Shuo; Li, Kang; Yang, Jun; Liu, Yiwen; Han, Wenqiang; Luo, Yaping.

Afiliação

Li S; School of Investigation, People's Public Security University of China, Beijing, China.
Li K; School of Investigation, People's Public Security University of China, Beijing, China.
Yang J; Forensic Science Department, Zhejiang Police College, Hangzhou, China.
Liu Y; School of Investigation, People's Public Security University of China, Beijing, China.
Han W; School of Investigation, People's Public Security University of China, Beijing, China.
Luo Y; Institute of Forensic Science Tianjin Public Security Bureau, Tianjin, China.

J Forensic Sci ; 68(2): 488-499, 2023 Mar.

Article em En | MEDLINE | ID: mdl-36650636

Assuntos

Dermatoglifia; Ciências Forenses; Humanos; Bases de Dados Factuais; Extremidade Superior

Palavras-chave

automatic fingerprint identification system; central region of the whorl; close non-matches; fingerprint identification; large-scale database; similarity of fingerprints

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Ciências Forenses / Dermatoglifia Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans Idioma: En Revista: J Forensic Sci Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China País de publicação: Estados Unidos

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