NDLI: An Associated Extraction Method of Palmprint Principal Lines

Content Provider	IEEE Xplore Digital Library
Author	Huang Peng-di Shi Jun-sheng Xu Guang-hui
Copyright Year	2013
Description	Author affiliation: Lab. of Color & Image Vision, Yunnan Normal Univ., Kunming, China (Huang Peng-di; Shi Jun-sheng; Xu Guang-hui)
Abstract	The research of palm print features has attracted a lot of attention, and the principal lines which is one of the stable and important features in palm print images can provide effective information for application of palm print technology. Aimed to accurate and natural extraction, in this paper, an associated extraction method of palm print principal lines is presented based on the own properties of palm print images. The method consists of three steps: coarse segmentation, principal lines position and accurate extraction. Firstly, the coarse segmentation was obtained by Nib lack's method. Secondly, SUSAN operator was applied to limit the range of principal lines as position result. Finally, the accurate extraction was achieved by the intersection of those two outputs mentioned above. Besides, we also adopted alternating sequential filter to solve thining problem. The experimental results with different shapes of palm print showed that this method is effective for capturing detailed and accurate structural information.
Starting Page	448
Ending Page	452
File Size	1048014
Page Count	5
File Format	PDF
ISBN	9780769550503
DOI	10.1109/ICIG.2013.101
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-07-26
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image segmentation Shape Niblack's method Image edge detection Noise Detectors Feature extraction palmprint extraction Data mining SUSAN edge detector
Content Type	Text
Resource Type	Article

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