Online Palmprint Identification System for Civil Applications

• Published in: Journal of computer science and technology Vol. 20; no. 1; pp. 70 - 76
• Main Authors: Zhang, David, Lu, Guang-Ming, Kong, Adams Wai-Kin, Wong, Michael
• Format: Journal Article
• Language: English
• Published: Beijing Springer Nature B.V 01.01.2005; Biometrics Research Centre, Department of Computing, The Hong Kong Polytechnic University, Kowloon Hong Kong Special Administrative Region, P.R. China%Biocomputing Research Lab, School of Computer Science and Engineering, Harbin Institute of Technology Harbin 150001, P.R. China%Biometrics Research Centre, Department of Computing, The Hong Kong Polytechnic University, Kowloon Hong Kong Special Administrative Region, P.R. China; Department of Systems Design Engineering, University of Waterloo, Ontario, N2L 3G1 Canada
• Subjects: Acceptance; Feature extraction; Identification systems; Modules; Palm; Preprocessing; Recognition; Rejection rate; biometrics; personal authentication; palmprint identification
• ISSN: 1000-9000; 1860-4749
• DOI: 10.1007/s11390-005-0008-2

In this paper, a novel biometric identification system is presented to identify a person’s identity by his/her palmprint. In contrast to existing palmprint systems for criminal applications, the proposed system targets at the civil applications, which require identifying a person in a large database with high accuracy in real-time. The system is constituted by four major components: User Interface Module, Acquisition Module, Recognition Module and External Module. More than 7,000 palmprint images have been collected to test the performance of the system. The system can identify 400 palms with a low false acceptance rate, 0.02%, and a high genuine acceptance rate, 98.83%. For verification, the system can operate at a false acceptance rate, 0.017% and a false rejection rate, 0.86%. The execution time for the whole process including image collection, preprocessing, feature extraction and matching is less than 1 second.