An iris recognition technique based on multi-feature extraction and support vector machine

Wen Shiung Chen; Po Jen Tsai; Sheng Wen Shih; Chih Ming Hsieh; Lili Hsieh

An iris recognition technique based on multi-feature extraction and support vector machine

Wen Shiung Chen, Po Jen Tsai, Sheng Wen Shih, Chih Ming Hsieh, Lili Hsieh

Center for General Education

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

3 Citations (Scopus)

Abstract

This paper presents a biometric recognition system based on the iris of a human eye using wavelet transform and eigen's theory. The proposed system includes three modules: image preprocessing, feature extraction, and recognition modules. Image preprocessing module uses some image processing algorithms to localize the region of interest of iris from the input image. The feature extraction module defines the "wavelet-eigeniris" and employs the statistical moment concept to extract the features. In recognition module we adopt minimum distance classifier and support vector machine (SVM) as the matching processor. Experimental results show that the system has an encouraging performance on the CASIA database.

Original language	English
Title of host publication	Proceedings of the Third IASTED International Conference on Circuits, Signals, and Systems, CSS 2005
Editors	V.G. Oklobdzija
Pages	180-185
Number of pages	6
Publication status	Published - 2005
Event	Third IASTED International Conference on Circuits, Signals, and Systems, CSS 2005 - Marina del Rey, CA, United States Duration: Oct 24 2005 → Oct 26 2005

Publication series

Name	Proceedings of the Third IASTED International Conference on Circuits, Signals, and Systems, CSS 2005

Conference

Conference	Third IASTED International Conference on Circuits, Signals, and Systems, CSS 2005
Country/Territory	United States
City	Marina del Rey, CA
Period	10/24/05 → 10/26/05

Keywords

Biometric Recognition
Iris Recognition
SVM
Wavelet Transform

ASJC Scopus subject areas

General Engineering

Cite this

Chen, W. S., Tsai, P. J., Shih, S. W., Hsieh, C. M., & Hsieh, L. (2005). An iris recognition technique based on multi-feature extraction and support vector machine. In V. G. Oklobdzija (Ed.), Proceedings of the Third IASTED International Conference on Circuits, Signals, and Systems, CSS 2005 (pp. 180-185). (Proceedings of the Third IASTED International Conference on Circuits, Signals, and Systems, CSS 2005).

An iris recognition technique based on multi-feature extraction and support vector machine. / Chen, Wen Shiung; Tsai, Po Jen; Shih, Sheng Wen et al.
Proceedings of the Third IASTED International Conference on Circuits, Signals, and Systems, CSS 2005. ed. / V.G. Oklobdzija. 2005. p. 180-185 (Proceedings of the Third IASTED International Conference on Circuits, Signals, and Systems, CSS 2005).

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

Chen, WS, Tsai, PJ, Shih, SW, Hsieh, CM & Hsieh, L 2005, An iris recognition technique based on multi-feature extraction and support vector machine. in VG Oklobdzija (ed.), Proceedings of the Third IASTED International Conference on Circuits, Signals, and Systems, CSS 2005. Proceedings of the Third IASTED International Conference on Circuits, Signals, and Systems, CSS 2005, pp. 180-185, Third IASTED International Conference on Circuits, Signals, and Systems, CSS 2005, Marina del Rey, CA, United States, 10/24/05.

Chen WS, Tsai PJ, Shih SW, Hsieh CM, Hsieh L. An iris recognition technique based on multi-feature extraction and support vector machine. In Oklobdzija VG, editor, Proceedings of the Third IASTED International Conference on Circuits, Signals, and Systems, CSS 2005. 2005. p. 180-185. (Proceedings of the Third IASTED International Conference on Circuits, Signals, and Systems, CSS 2005).

Chen, Wen Shiung ; Tsai, Po Jen ; Shih, Sheng Wen et al. / An iris recognition technique based on multi-feature extraction and support vector machine. Proceedings of the Third IASTED International Conference on Circuits, Signals, and Systems, CSS 2005. editor / V.G. Oklobdzija. 2005. pp. 180-185 (Proceedings of the Third IASTED International Conference on Circuits, Signals, and Systems, CSS 2005).

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abstract = "This paper presents a biometric recognition system based on the iris of a human eye using wavelet transform and eigen's theory. The proposed system includes three modules: image preprocessing, feature extraction, and recognition modules. Image preprocessing module uses some image processing algorithms to localize the region of interest of iris from the input image. The feature extraction module defines the {"}wavelet-eigeniris{"} and employs the statistical moment concept to extract the features. In recognition module we adopt minimum distance classifier and support vector machine (SVM) as the matching processor. Experimental results show that the system has an encouraging performance on the CASIA database.",

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AB - This paper presents a biometric recognition system based on the iris of a human eye using wavelet transform and eigen's theory. The proposed system includes three modules: image preprocessing, feature extraction, and recognition modules. Image preprocessing module uses some image processing algorithms to localize the region of interest of iris from the input image. The feature extraction module defines the "wavelet-eigeniris" and employs the statistical moment concept to extract the features. In recognition module we adopt minimum distance classifier and support vector machine (SVM) as the matching processor. Experimental results show that the system has an encouraging performance on the CASIA database.

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KW - Iris Recognition

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An iris recognition technique based on multi-feature extraction and support vector machine

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

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