NDLI: Palmprint recognition using directional line energy feature

Content Provider	IEEE Xplore Digital Library
Author	Xiangqian Wu Kuanquan Wang Zhang, D.
Copyright Year	2004
Description	Author affiliation: Sch. of Comput. Sci. & Technol., Harbin Inst. of Technol., China (Xiangqian Wu; Kuanquan Wang)
Abstract	Palm-lines, including the principal lines and wrinkles, can describe a palmprint clearly. This work presents a novel approach of line feature extraction for palmprint recognition called the directional line energy feature (DLEF). The directional lines in different directions are first extracted using a set of directional line detectors. Then each directional line magnitude image is divided into several overlapped small grids and the magnitudes of the line points in these grids are used to compute the DLEF. A template-matching method based on Euclidean distance is adopted to measure the similarity of two DLEFs. Best results have been obtained when DLEFs with 6 different directions were employed. Accuracies of 97.92% and 97.5% are obtained by using the proposed approach in one-against-one matching and one-against-320 matching, respectively.
Starting Page	475
Ending Page	478
File Size	424428
Page Count	4
File Format	PDF
ISBN	0769521282
ISSN	10514651
DOI	10.1109/ICPR.2004.1333805
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-08-26
Publisher Place	UK
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Feature extraction Biometrics Data mining Computer science Detectors Grid computing Euclidean distance Fingerprint recognition Iris Information geometry
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition

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