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Biometric identification based on low-quality hand vein pattern images

  • Chinese Academy of Sciences
  • North China University of Technology

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

摘要

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.

源语言英语
主期刊名Proceedings of the 7th International Conference on Machine Learning and Cybernetics, ICMLC
出版商IEEE Computer Society
页1172-1177
页数6
ISBN(印刷版)9781424420964
DOI
出版状态已出版 - 2008
活动7th International Conference on Machine Learning and Cybernetics, ICMLC 2008 - Kunming, 中国
期限: 12 7月 2008 → 15 7月 2008

丛书

姓名Proceedings of the 7th International Conference on Machine Learning and Cybernetics, ICMLC
卷2

会议

会议7th International Conference on Machine Learning and Cybernetics, ICMLC 2008
国家/地区中国
市Kunming
时期12/07/08 → 15/07/08

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