Graph based cross-shape recognition for palm diagnosis

Xiangqian Wu, Kuanquan Wang, Liao Jing, Dapeng Zhang

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-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 languageEnglish
Title of host publicationProceedings - ISDA 2006
Subtitle of host publicationSixth International Conference on Intelligent Systems Design and Applications
Pages325-328
Number of pages4
Volume2
DOIs
Publication statusPublished - 1 Dec 2006
EventISDA 2006: Sixth International Conference on Intelligent Systems Design and Applications - Jinan, China
Duration: 16 Oct 200618 Oct 2006

Conference

ConferenceISDA 2006: Sixth International Conference on Intelligent Systems Design and Applications
Country/TerritoryChina
CityJinan
Period16/10/0618/10/06

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Electrical and Electronic Engineering

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