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Online Palmprint Identification
September 2003 (vol. 25 no. 9)
pp. 1041-1050
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.
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Index Terms:
Biometrics, online palmprint identification, texture analysis, low-resolution image.
Citation:
David Zhang, Wai-Kin Kong, Jane You, Michael Wong, "Online Palmprint Identification," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 25, no. 9, pp. 1041-1050, Sept. 2003, doi:10.1109/TPAMI.2003.1227981