Personal identification technique based on human Iris recognition with wavelet transform

Wen Shiung Chen, Kun Huei Chih, Sheng Wen Shih, Chih Ming Hsieh

研究成果: 書貢獻/報告類型會議貢獻

21 引文 斯高帕斯(Scopus)

摘要

This paper presents a biometric recognition system based on the iris of a human eye using wavelet transform. The proposed system includes three modules: image preprocessing, feature extraction, and recognition modules. The feature extraction module adopts the gradient direction (i.e., angle) on wavelet transform as the discriminating texture features. The system encodes the features to generate its iris feature codes using two efficient coding techniques: binary Gray encoding and delta modulation. Experimental results show that the recognition rates up to 95.27%, 95.62%, 96.21%, and 99.05%, respectively, using different coding methods can be achieved.
原文英語
主出版物標題2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05 - Proceedings - Image and Multidimensional Signal Processing Multimedia Signal Processing
頁面II949-II952
DOIs
出版狀態已發佈 - 2005
事件2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05 - Philadelphia, PA, 美国
持續時間: 3月 18 20053月 23 2005

出版系列

名字ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
II
ISSN(列印)1520-6149

會議

會議2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05
國家/地區美国
城市Philadelphia, PA
期間3/18/053/23/05

ASJC Scopus subject areas

  • 軟體
  • 訊號處理
  • 電氣與電子工程

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