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|Title: ||Graph based cross-shape recognition for palm diagnosis|
|Authors: ||Wu, Xiangqian|
Zhang, David D.
|Subjects: ||Data structures|
Palm Medicine (PM)
|Issue Date: ||2006 |
|Publisher: ||IEEE Computer Society|
|Citation: ||ISDA 2006 : sixth International Conference Intelligent Systems Design and Applications, Jinan, Shandong, China, 16-18 October 2006, v. 2, p. 325-328.|
|Abstract: ||According to the Palm Medicine (PM), the palmprint is one of the biometric features which can be used to diagnose diseases. Some special shapes formed by the palm lines in some areas of the palm indicate some special diseases. Cross-shape ("+") is very important in PM. This paper proposes a novel approach to identify the cross-shape for palm diagnosis. In this approach, the palm lines are extracted firstly, and then an undirected graph (called palm line undirected graph, PLUG) is constructed to represent the structure of the palm lines. Finally, by using the theory of fuzzy set, the cross-shapes are recognized in the PLUG. The experimental results demonstrate the effective of the proposed approach.|
|Rights: ||© 2006 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.|
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|Type: ||Conference Paper|
|Appears in Collections:||COMP Conference Papers & Presentations|
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