Graph based cross-shape recognition for palm diagnosis

Xiangqian Wu; Kuanquan Wang; Liao Jing; Dapeng Zhang

doi:10.1109/ISDA.2006.253855

Graph based cross-shape recognition for palm diagnosis

Xiangqian Wu, Kuanquan Wang, Liao Jing, Dapeng Zhang

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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 (calledpalm 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.

Original language	English
Title of host publication	Proceedings - ISDA 2006
Subtitle of host publication	Sixth International Conference on Intelligent Systems Design and Applications
Pages	325-328
Number of pages	4
Volume	2
DOIs	https://doi.org/10.1109/ISDA.2006.253855
Publication status	Published - 1 Dec 2006
Event	ISDA 2006: Sixth International Conference on Intelligent Systems Design and Applications - Jinan, China Duration: 16 Oct 2006 → 18 Oct 2006

Conference

Conference	ISDA 2006: Sixth International Conference on Intelligent Systems Design and Applications
Country/Territory	China
City	Jinan
Period	16/10/06 → 18/10/06

ASJC Scopus subject areas

Artificial Intelligence
Computer Science Applications
Electrical and Electronic Engineering

More information

10.1109/ISDA.2006.253855

http://hdl.handle.net/10397/1214

Cite this

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title = "Graph based cross-shape recognition for palm diagnosis",

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 (calledpalm 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.",

author = "Xiangqian Wu and Kuanquan Wang and Liao Jing and Dapeng Zhang",

year = "2006",

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day = "1",

doi = "10.1109/ISDA.2006.253855",

language = "English",

isbn = "0769525288",

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Wu, X, Wang, K, Jing, L & Zhang, D 2006, Graph based cross-shape recognition for palm diagnosis. in Proceedings - ISDA 2006: Sixth International Conference on Intelligent Systems Design and Applications. vol. 2, 4021682, pp. 325-328, ISDA 2006: Sixth International Conference on Intelligent Systems Design and Applications, Jinan, China, 16/10/06. https://doi.org/10.1109/ISDA.2006.253855

Graph based cross-shape recognition for palm diagnosis. / Wu, Xiangqian; Wang, Kuanquan; Jing, Liao et al.
Proceedings - ISDA 2006: Sixth International Conference on Intelligent Systems Design and Applications. Vol. 2 2006. p. 325-328 4021682.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

TY - GEN

T1 - Graph based cross-shape recognition for palm diagnosis

AU - Wu, Xiangqian

AU - Wang, Kuanquan

AU - Jing, Liao

AU - Zhang, Dapeng

PY - 2006/12/1

Y1 - 2006/12/1

N2 - 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 (calledpalm 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.

AB - 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 (calledpalm 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.

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U2 - 10.1109/ISDA.2006.253855

DO - 10.1109/ISDA.2006.253855

M3 - Conference article published in proceeding or book

SN - 0769525288

SN - 9780769525280

VL - 2

SP - 325

EP - 328

BT - Proceedings - ISDA 2006

T2 - ISDA 2006: Sixth International Conference on Intelligent Systems Design and Applications

Y2 - 16 October 2006 through 18 October 2006

ER -

Graph based cross-shape recognition for palm diagnosis

Abstract

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ASJC Scopus subject areas

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