Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/209
Title: Online palmprint identification
Authors: Zhang, DD 
Kong, WKA
You, J 
Wong, M
Keywords: Biometrics
Online palmprint identification
Texture analysis
Low-resolution image
Issue Date: Sep-2003
Publisher: IEEE
Source: IEEE transactions on pattern analysis and machine intelligence, Sept. 2003, v. 25, no. 9, p.1041-1050 How to cite?
Journal: IEEE transactions on pattern analysis and machine intelligence 
Abstract: Biometrics-based personal identification is regarded as an effective method for automatically recognizing, with a high confidence, a person's identity. This paper presents a new biometric approach to online personal identification using palmprint technology. In contrast to the existing methods, our online palmprint identification system employs low-resolution palmprint images to achieve effective personal identification. The system consists of two parts: a novel device for online palmprint image acquisition and an efficient algorithm for fast palmprint recognition. A robust image coordinate system is defined to facilitate image alignment for feature extraction. In addition, a 2D Gabor phase encoding scheme is proposed for palmprint feature extraction and representation. The experimental results demonstrate the feasibility of the proposed system.
URI: http://hdl.handle.net/10397/209
ISSN: 0162-8828
DOI: 10.1109/TPAMI.2003.1227981
Rights: © 2003 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.
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