Personal identification with human iris recognition based on wavelet transform

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

Personal identification with human iris recognition based on wavelet transform

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

通識教育中心

研究成果: 書貢獻/報告類型 › 會議貢獻

2 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 directions (i.e., angles) on wavelet transform as the discriminating texture features. The identification system encodes the features to generate the iris codes using two simple and efficient coding techniques: binary Gray encoding and delta modulation. The 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	Proceedings of the 9th IAPR Conference on Machine Vision Applications, MVA 2005
頁面	351-354
頁數	4
出版狀態	已發佈 - 2005
事件	9th IAPR Conference on Machine Vision Applications, MVA 2005 - Tsukuba Science City, 日本持續時間: 5月 16 2005 → 5月 18 2005

出版系列

名字	Proceedings of the 9th IAPR Conference on Machine Vision Applications, MVA 2005

會議

會議	9th IAPR Conference on Machine Vision Applications, MVA 2005
國家/地區	日本
城市	Tsukuba Science City
期間	5/16/05 → 5/18/05

ASJC Scopus subject areas

電腦視覺和模式識別

其它文件與鏈接

Link to publication in Scopus

引用此

Personal identification with human iris recognition based on wavelet transform. / Chen, Wen Shiung; Chih, Kun Huei; Shih, Sheng Wen 等.
Proceedings of the 9th IAPR Conference on Machine Vision Applications, MVA 2005. 2005. p. 351-354 (Proceedings of the 9th IAPR Conference on Machine Vision Applications, MVA 2005).

研究成果: 書貢獻/報告類型 › 會議貢獻

Chen, WS, Chih, KH, Shih, SW & Hsieh, CM 2005, Personal identification with human iris recognition based on wavelet transform. 於 Proceedings of the 9th IAPR Conference on Machine Vision Applications, MVA 2005. Proceedings of the 9th IAPR Conference on Machine Vision Applications, MVA 2005, 頁 351-354, 9th IAPR Conference on Machine Vision Applications, MVA 2005, Tsukuba Science City, 日本, 5/16/05.

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title = "Personal identification with human iris recognition based on wavelet transform",

abstract = "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 directions (i.e., angles) on wavelet transform as the discriminating texture features. The identification system encodes the features to generate the iris codes using two simple and efficient coding techniques: binary Gray encoding and delta modulation. The 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.",

author = "Chen, {Wen Shiung} and Chih, {Kun Huei} and Shih, {Sheng Wen} and Hsieh, {Chih Ming}",

year = "2005",

language = "English",

isbn = "4901122045",

series = "Proceedings of the 9th IAPR Conference on Machine Vision Applications, MVA 2005",

pages = "351--354",

booktitle = "Proceedings of the 9th IAPR Conference on Machine Vision Applications, MVA 2005",

note = "9th IAPR Conference on Machine Vision Applications, MVA 2005 ; Conference date: 16-05-2005 Through 18-05-2005",

}

TY - GEN

T1 - Personal identification with human iris recognition based on wavelet transform

AU - Chen, Wen Shiung

AU - Chih, Kun Huei

AU - Shih, Sheng Wen

AU - Hsieh, Chih Ming

PY - 2005

Y1 - 2005

N2 - 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 directions (i.e., angles) on wavelet transform as the discriminating texture features. The identification system encodes the features to generate the iris codes using two simple and efficient coding techniques: binary Gray encoding and delta modulation. The 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.

AB - 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 directions (i.e., angles) on wavelet transform as the discriminating texture features. The identification system encodes the features to generate the iris codes using two simple and efficient coding techniques: binary Gray encoding and delta modulation. The 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.

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M3 - Conference contribution

AN - SCOPUS:84872559394

SN - 4901122045

SN - 9784901122047

T3 - Proceedings of the 9th IAPR Conference on Machine Vision Applications, MVA 2005

SP - 351

EP - 354

BT - Proceedings of the 9th IAPR Conference on Machine Vision Applications, MVA 2005

T2 - 9th IAPR Conference on Machine Vision Applications, MVA 2005

Y2 - 16 May 2005 through 18 May 2005

ER -

Personal identification with human iris recognition based on wavelet transform

摘要

出版系列

會議

ASJC Scopus subject areas

其它文件與鏈接

指紋

引用此