Graph based cross-shape recognition for palm diagnosis

Xiangqian Wu; Kuanquan Wang; Liao Jing; David Zhang

doi:10.1109/ISDA.2006.253855

Graph based cross-shape recognition for palm diagnosis

Xiangqian Wu^*
, Kuanquan Wang
, Liao Jing
, David Zhang

^*Corresponding author for this work

School of Computer Science and Technology, Harbin Institute of Technology
Hong Kong Polytechnic University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › 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
DOIs	https://doi.org/10.1109/ISDA.2006.253855
State	Published - 2006
Externally published	Yes
Event	ISDA 2006: Sixth International Conference on Intelligent Systems Design and Applications - Jinan, China Duration: 16 Oct 2006 → 18 Oct 2006

Publication series

Name	Proceedings - ISDA 2006: Sixth International Conference on Intelligent Systems Design and Applications
Volume	2

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

Access to Document

10.1109/ISDA.2006.253855

Cite this

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 (pp. 325-328). Article 4021682 (Proceedings - ISDA 2006: Sixth International Conference on Intelligent Systems Design and Applications; Vol. 2). https://doi.org/10.1109/ISDA.2006.253855

@inproceedings{a2b176defef84faab2fef543bfe6a102,

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 David Zhang",

year = "2006",

doi = "10.1109/ISDA.2006.253855",

language = "英语",

isbn = "0769525288",

series = "Proceedings - ISDA 2006: Sixth International Conference on Intelligent Systems Design and Applications",

pages = "325--328",

booktitle = "Proceedings - ISDA 2006",

note = "ISDA 2006: Sixth International Conference on Intelligent Systems Design and Applications ; Conference date: 16-10-2006 Through 18-10-2006",

}

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., 4021682, Proceedings - ISDA 2006: Sixth International Conference on Intelligent Systems Design and Applications, vol. 2, 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. 2006. p. 325-328 4021682 (Proceedings - ISDA 2006: Sixth International Conference on Intelligent Systems Design and Applications; Vol. 2).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Graph based cross-shape recognition for palm diagnosis

AU - Wu, Xiangqian

AU - Wang, Kuanquan

AU - Jing, Liao

AU - Zhang, David

PY - 2006

Y1 - 2006

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.

UR - https://www.scopus.com/pages/publications/34547516412

U2 - 10.1109/ISDA.2006.253855

DO - 10.1109/ISDA.2006.253855

M3 - 会议稿件

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SN - 0769525288

SN - 9780769525280

T3 - Proceedings - ISDA 2006: Sixth International Conference on Intelligent Systems Design and Applications

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

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