Palmprint authentication using time series

Authors:
Jian-Sheng Chen;Yiu-Sang Moon;Hoi-Wo Yeung
Affiliations:
Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong;Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong;Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong
Venue:
AVBPA'05 Proceedings of the 5th international conference on Audio- and Video-Based Biometric Person Authentication
Year:
2005

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Abstract

Automated personal authentication using biometric features is getting more and more popular for solving the security problems. A new branch of biometric technology, palmprint authentication, has attracted increasing amount of attention because palmprints are abundant of line features and thus low resolution images can be used. In this paper, we propose a new approach for palmprint feature extraction, template representation and matching. Using of time series technologies such as SAX representation and MINDIST calculation is the key to make this new approach simple, flexible and reliable. Experiment shows that this approach can achieve an accuracy of 98.7% when performing one to one verification on a 600 palmprints database. This new approach, which is very computationally efficient, also facilitates the biometric feature fusion as well as palmprint identification using incomplete templates.