Abstract
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.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
References
Jain A, Bolle R, Pankanti S (eds.). Biometrics: Personal Identification in Networked Society. Boston, Mass: Kluwer Academic Publishers, 1999.
International Biometric Group’s Biometric Market Report 2003–2007. http://www.biometricgroup.com/reports/public/market_report.html
Sanchez-Reillo R, Sanchez-Avilla C, Gonzalez-Marcos A. Biometric identification through hand geometry measurements. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2000, 22(10): 1168–1171.
Im S K, Park H M, Kim Y W et al. An biometric identification system by extracting hand vein patterns. Journal of the Korean Physical Society, 2001, 38(3): 268–272.
Jain A, Hong L, Bolle R. On-line fingerprint verification. IEEE Trans. PAMI, 1997, 19(4): 302–314.
Jain A K, Ross A, Prabhakar S. An introduction to biometric recognition. IEEE Trans. Circuits and Systems for Video Technology, Special Issue on Image- and Video-Based Biometrics, 2004, 14(1): 4–20.
NEC automatic palmprint identification system. http://www.nectech.com/afis/download/PalmprintDtsht.q.pdf
Prinkrak palmprint identification system. http://www.printrakinternational.com/omnitrak.htm
Zhang D, Kong W K, You J, Wong M. On-line palmprint identification. IEEE Trans. PAMI, 2003, 25(9): 1041–1050.
Jain A K, Prabhakar S, Pankanti S. On the similarity of identical twin fingerprints. Pattern Recognition, 2002, 35(11): 2653–2662.
Jain A K, Prabhakar S, Hong L, Pankanti S. Filterbank-based fingerprint matching. IEEE Trans. Image Processing, 2000, 9(5): 846–859.
Sanchez-Reillo R, Sanchez-Avilla C, Gonzalez-Marcos A. Biometric identification through hand geometry measurements. IEEE Trans. PAMI, 2000, 22(18): 1168–1171.
Author information
Authors and Affiliations
Corresponding author
Additional information
This research is partially supported by the UGC/CRC fund from the Hong Kong SAR Government and the central fund from The Hong Kong Polytechnic University.
David Zhang graduated in computer science from Peking University in 1974. In 1983 he received his M.Sc. degree in computer science and engineering from the Harbin Institute of Technology (HIT) and then in 1985 his Ph.D. degree from the same institution. In 1994 he received his second Ph.D. degree in electrical and computer engineering from the University of Waterloo, Ontario, Canada. Prof. Zhang is currently with The Hong Kong Polytechnic University (PolyU), where he is the Founding Director of the Biometrics Technology Centre (UGC/CRC) (www4.comp.polyu.edu.hk/~biometrics/), a body supported by the Hong Kong SAR Government. He also serves as Adjunct Professor in Tsinghua Univ., Shanghai Jiaotong Univ., Harbin Institute of Technology, and the Univ. Waterloo. Prof. Zhang’s research interests include automated biometrics-based authentication, pattern recognition, and biometric technology and systems. He is the Founder and Editor-in-Chief, International Journal of Image and Graphics (IJIG); Book Editor, Kluwer International Series on Biometrics (KISB); and Associate Editor of more than ten international journals including IEEE Trans. SMC-A/SMC-C, Pattern Recognition. He is the author of more than 130 journal papers, twenty book chapters and ten books. As a principal investigator, he has since 1980 brought to fruition many biometrics projects and won numerous prizes. Prof. Zhang holds a number of patents in both USA and China and is a current Croucher Senior Research Fellow.
Guang-Ming Lu graduated from HIT in electrical engineering in 1998, where he also obtained his M.Sc. degree in control theory and control engineering in 2000. He is pursuing the Ph.D. degree in the Dept. Computer Science and Engineering of HIT since 2000. He is currently a lecturer in the Biocomputing Research Lab., School of Computer Science and Engineering, HIT. His research interests include pattern recognition, image processing, and automated biometrics technologies.
Adams Wai-Kin Kong received his B.Sc. degree in mathematics from Hong Kong Baptist Univ. with first class honors and obtained his M.Phil. degree from PolyU. Currently, he is a Ph.D. candidate at Univ. Waterloo. During his study, he received several awards and scholarships from the universities, including Scholastic Award, Tuition Scholarships for Research Postgraduate Studies and International Graduate Student Award. In 2003, based on his palmprint identification algorithm, he was selected as a finalist of young inventor awards organized by Far Eastern Economic Review, who was the only one finalist from Hong Kong. His research interest includes biometrics, pattern recognition, image processing and neural network.
Michael Wong received his M.Phil. from the Dept. Computing, PolyU in 2004. He received the B.A. (Hons.) degree in computing from PolyU in 2001 with first class honors, and was awarded The Reuter Foundation Scholarship in 2001. During his study at the Kwai Chung Technical Institutes, he received the CMA & Donors Scholarship Award and The Chiap Hua Cheng’s Foundation Scholarship in 1996 and 1997, respectively. He was one of the group leaders in the Preferred Graduate Development Programme (PGDP 2000), organized by PolyU, and was awarded the Certificate of Achievement for his outstanding leadership and contributions to the PGDP 2000. In his M.Phil. study, he received a two-year Tuition Scholarship for Research Postgraduate Studies awarded by PolyU. His research interest includes biometrics, pattern recognition, and image processing.
Rights and permissions
About this article
Cite this article
Zhang, D., Lu, GM., Kong, A.WK. et al. Online Palmprint Identification System for Civil Applications. J Comput Sci Technol 20, 70–76 (2005). https://doi.org/10.1007/s11390-005-0008-2
Received:
Revised:
Issue Date:
DOI: https://doi.org/10.1007/s11390-005-0008-2