Integrating shape and texture for hand verification

Ajay Kumar Pathak, Dapeng Zhang

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

21 Citations (Scopus)

Abstract

This paper investigates the performance of a bimodal biometric system using fusion of shape and texture. We propose several new hand-shape features that can be used to represent the hand shape and improve the performance for hand-shape based user authentication. We also demonstrate the usefulness of Discrete Cosine Transform (DCT) coefficients for palmprint authentication. The score level fusion of hand shape and palmprint features using product rule achieves best performance as compared to Max or Sum rule. The two hand shapes of an individual are anatomically similar. However, the palmprint information from the two hands can be combined to further improve performance and is investigated in this paper. Our experimental results on the database of 100 users achieve promising results and therefore confirm the usefulness of proposed method.
Original languageEnglish
Title of host publicationProceedings - Third International Conference on Image and Graphics
Pages222-225
Number of pages4
DOIs
Publication statusPublished - 1 Dec 2004
EventProceedings - Third International Conference on Image and Graphics - Hong Kong, Hong Kong
Duration: 18 Dec 200420 Dec 2004

Conference

ConferenceProceedings - Third International Conference on Image and Graphics
CountryHong Kong
CityHong Kong
Period18/12/0420/12/04

ASJC Scopus subject areas

  • Engineering(all)

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