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Online palmprint identification (2003)
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| Venue: | IEEE Trans. Pattern Anal. Mach. Intell |
| Citations: | 171 - 37 self |
BibTeX
@ARTICLE{Zhang03onlinepalmprint,
author = {David Zhang and Senior Member and Wai-kin Kong and Jane You and Michael Wong},
title = {Online palmprint identification},
journal = {IEEE Trans. Pattern Anal. Mach. Intell},
year = {2003},
pages = {1041--1050}
}
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Abstract
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. Index Terms—Biometrics, online palmprint identification, texture analysis, low-resolution image. 1
Keyphrases
online palmprint identification person identity texture analysis low-resolution palmprint image feature extraction high confidence effective method image alignment index term biometrics efficient algorithm low-resolution image online palmprint image acquisition palmprint technology gabor phase new biometric approach fast palmprint recognition effective personal identification palmprint feature extraction experimental result novel device online palmprint identification system personal identification abstract biometrics-based personal identification robust image coordinate system
