Biometric recognition by fusing palmprint and hand-geometry based on morphology

Wei Chang Wang, Wen Shiung Chen, Sheng Wen Shih

Research output: Chapter in Book/Report/Conference proceedingConference contribution

16 Citations (Scopus)

Abstract

This paper presents a novel biometric recognition system fusing the palmprint and hand geometry of a human hand based on morphology. We utilize the image morphology and concept of Voronoi diagram to cut the image of the front of the whole palm apart into several irregular blocks in accordance with the hand geometry. Furthermore, statistic characteristics of the gray level in the blocks are employed as characteristic values. The experimental results show that the proposed system has an encouraging performance. The false acceptance rate (FAR) and false rejection rate (FRR) are reduced down to 0.0035% and 5.7692%, respectively.

Original languageEnglish
Title of host publication2009 IEEE International Conference on Acoustics, Speech, and Signal Processing - Proceedings, ICASSP 2009
Pages893-896
Number of pages4
DOIs
Publication statusPublished - 2009
Event2009 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2009 - Taipei, Taiwan
Duration: Apr 19 2009Apr 24 2009

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ISSN (Print)1520-6149

Conference

Conference2009 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2009
Country/TerritoryTaiwan
CityTaipei
Period4/19/094/24/09

Keywords

  • Biometric recognition
  • Hand geometry
  • Morphology
  • Palmprint

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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