NDLI: A new palmprint identification algorithm based on Gabor filter and moment invariant

Content Provider	IEEE Xplore Digital Library
Author	Shuang Wang Yong Xu
Copyright Year	2008
Description	Author affiliation: Dept. of Comput. Sci. & Technol., Harbin Inst. of Technol., Shenzhen (Shuang Wang; Yong Xu)
Abstract	This paper presents an effective algorithm of palmprint feature extraction. This algorithm is constructed on the basis of Gabor filter and moment invariant (MI). The process of implementing the algorithm is as follows: first, we perform wavelet transform of the original region of interest (ROI) of the palmprint image to get the approximation image (AIROI). Later, we exploit the Gabor filter to capture the texture information of the AIROI, and then compute each pixelpsilas magnitude of the transformed image to produce a Gabor Magnitude Picture (GMP). We compute the MIs of the GMP and use the MIs as features of palmprint identification. Our experiment on an open database downloaded from PolyU Biometrics Research Center obtains very high right recognition rate.
Starting Page	491
Ending Page	496
File Size	588538
Page Count	6
File Format	PDF
ISBN	9781424416738
DOI	10.1109/ICCIS.2008.4670743
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-09-21
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Gabor filters Feature extraction Wavelet transforms Biometrics Data mining Fingerprint recognition Computer science Paper technology Pixel Image databases Moment Invariant Palmprint Identification Feature Extraction Low-Resolution Wavelet Gabor
Content Type	Text
Resource Type	Article

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