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Biometric identification based on low-quality hand vein pattern images

  • Shi Zhao*
  • , Yi Ding Wang
  • , Yun Hong Wang
  • *Corresponding author for this work
  • Chinese Academy of Sciences
  • North China University of Technology

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

Abstract

Vein pattern is used as biometric feature in recent 20 years and It attracts much attention from 2000. A complete vein pattern recognition system contains three key procedures, vein image collection, vein pattern segment and feature extraction. In this paper, we adopt low-cost collection devices and discuss all the three parts in details. First a novel image collection way is proposed, which could enhance the contrast. Then a denoising algorithm using wavelets thresholding based on Besov norm regularization is discussed. This algorithm could remove the high noise while do not hurt the contrast. Finally, two novel robust features specially designed for vein pattern are put forward. Experimental results show that our system is as successful as traditional high-price system. In conclusion, our research makes using low-cost devices to recognize vein patterns possible.

Original languageEnglish
Title of host publicationProceedings of the 7th International Conference on Machine Learning and Cybernetics, ICMLC
PublisherIEEE Computer Society
Pages1172-1177
Number of pages6
ISBN (Print)9781424420964
DOIs
StatePublished - 2008
Event7th International Conference on Machine Learning and Cybernetics, ICMLC 2008 - Kunming, China
Duration: 12 Jul 2008 → 15 Jul 2008

Publication series

NameProceedings of the 7th International Conference on Machine Learning and Cybernetics, ICMLC
Volume2

Conference

Conference7th International Conference on Machine Learning and Cybernetics, ICMLC 2008
Country/TerritoryChina
CityKunming
Period12/07/08 → 15/07/08

Keywords

  • Besov space
  • Biometric
  • Hand vein patterns
  • LBP
  • Noise deduction

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