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Palmprint Identification Algorithm using Hu Invariant Moments  

SHIN Kwang Gyu (Graduate School, Chosun University)
RHEE Kang Hyeon (Dept. of Electronic Eng., College of Elec-Info Eng., Chosun University)
Publication Information
Journal of the Institute of Electronics Engineers of Korea CI / v.42, no.2, 2005 , pp. 31-38 More about this Journal
Abstract
Recently, Biometrics-based personal identification is regarded as an effective method of person's identity with recognition automation and high performance. In this paper, the palmprint recognition method based on Hu invariant moment is proposed. And the low-resolution(750dpi) palmprint image$(5.5Cm\times5.5Cm)$ is used for the small scale database of the effectual palmprint recognition system. The proposed system is consists of two parts: firstly, the palmprint fixed equipment for the acquisition of the correctly palmprint image and secondly, the algorithm of the efficient processing for the palmprint recognition. And the palmprint identification step is limited 3 times. As a results, when the coefficient is 0.001 then FAR and GAR are $0.038\%$ and $98.1\%$ each other. The authors confirmed that FAR is improved $0.002\%$ and GAR is $0.1\%$ each other compared with [3].
Keywords
Palmprint; Hu Invariant Moments; Identification; Otsu Binarization;
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