NDLI: A Detection Method of Palmprint Principal Lines Based on Local Minimum Gray Value and Line Following

Content Provider	IEEE Xplore Digital Library
Author	Weiqi Yuan Sen Lin Haibin Tong Shudong Liu
Copyright Year	2011
Abstract	A novel detection method of palmprint principal lines is proposed, which employs the priori knowledge of statistical properties about palm lines. Firstly, considering the particular direction of principal lines and the feature of their valley type edges, only one directional template of 45 degrees based on local minimum gray value is used to segment palmprint, and it can significantly reduce the excessive noise that multi-directional templates may bring. Next, a following method of the principal lines is employed, and another linking algorithm for the broken lines is devised. Compared with the existing methods, this scheme can limit principal lines detection in a small area, and trace the principal lines in a certain direction, thus it can effectively avoid the problem of blind searching and enhance the robustness. Finally, an index called "extraction rate"(ER) is defined to evaluate the effect of the proposed approach. The experiments based on the palmprint database of Hong Kong University of Science and Technology (HKUST) show that the extraction rate is 86.67%, and the principal lines are complete. Therefore this method can provide a good support for palmprint identification or other multimodal person identification.
Starting Page	1
Ending Page	5
File Size	408035
Page Count	5
File Format	PDF
ISBN	9781457704918
e-ISBN	9781457704901
e-ISBN	9781457704895
DOI	10.1109/ICHB.2011.6094300
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-11-17
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image edge detection Noise Feature extraction Data mining Erbium Morphological operations
Content Type	Text
Resource Type	Article

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