NDLI: FCM-based orientation selection for competitive coding-based palmprint recognition

Content Provider	IEEE Xplore Digital Library
Author	Feng Yue Wangmeng Zuo Kuanquan Wang Zhang, D.
Copyright Year	2008
Description	Author affiliation: Biocomputing Res. Center, Hong Kong Polytech. Univ., Hong Kong (Zhang, D.) \|\| Biocomputing Res. Center, Harbin Inst. of Technol., Harbin (Feng Yue; Wangmeng Zuo; Kuanquan Wang)
Abstract	Coding based methods are among the most promising palmprint recognition methods. As one representative coding method, the competitive code first convolves the palmprint image with a bank of Gabor filters with different orientations and then encodes the dominant orientation into its bitwise representation. Despite its effectiveness, few investigations have been given to study the influence of the number of filters and the orientation of each filter. In this paper, based on the statistical orientation distribution and the orientation separation principle, we propose a modified fuzzy C-means cluster algorithm to determine the orientations of filters. Experimental results indicate that, the proposed method achieves higher verification accuracy while compared with that of the original competitive code and several state-of-the-art methods. Considering both the computational complexity and the verification accuracy, six filters would be the optimal choice for proposed method.
Starting Page	1
Ending Page	4
File Size	234104
Page Count	4
File Format	PDF
ISBN	9781424421749
ISSN	10514651
DOI	10.1109/ICPR.2008.4761846
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-12-08
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Gabor filters Quantization Feature extraction Biometrics Computer science Image coding Clustering algorithms Computational complexity Focusing Statistical distributions
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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