1-D Gabor directional filtering for low-quality fingerprint image enhancement

Ching Han Chen; Kuo En Chiu

doi:10.1109/IECON.2006.347978

1-D Gabor directional filtering for low-quality fingerprint image enhancement

Ching Han Chen, Kuo En Chiu

資訊工程學系

研究成果: 書貢獻/報告類型 › 會議論文篇章 › 同行評審

6 引文斯高帕斯（Scopus）

摘要

Automatic fingerprint identification is widely considered as the most reliable biometric person identification technique. The fingerprint recognition performance depends on the quality of fingerprint images. In this paper, we propose a method which applies a 1-D Gabor filter for ridge orientation estimation and image enhancement as well. The proposed method produces higher efficiency and better ridge smoothness than the conventional 2-D Gabor filtering. This approach contributes to the improvement of the accuracy of fingerprint minutiae extraction and the performance of minutiae matching.

原文	???core.languages.en_GB???
主出版物標題	IECON 2006 - 32nd Annual Conference on IEEE Industrial Electronics
頁面	3466-3470
頁數	5
DOIs	https://doi.org/10.1109/IECON.2006.347978
出版狀態	已出版 - 2006
事件	IECON 2006 - 32nd Annual Conference on IEEE Industrial Electronics - Paris, France 持續時間: 6 11月 2006 → 10 11月 2006

出版系列

名字	IECON Proceedings (Industrial Electronics Conference)

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???	IECON 2006 - 32nd Annual Conference on IEEE Industrial Electronics
國家/地區	France
城市	Paris
期間	6/11/06 → 10/11/06

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10.1109/IECON.2006.347978

引用此

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title = "1-D Gabor directional filtering for low-quality fingerprint image enhancement",

abstract = "Automatic fingerprint identification is widely considered as the most reliable biometric person identification technique. The fingerprint recognition performance depends on the quality of fingerprint images. In this paper, we propose a method which applies a 1-D Gabor filter for ridge orientation estimation and image enhancement as well. The proposed method produces higher efficiency and better ridge smoothness than the conventional 2-D Gabor filtering. This approach contributes to the improvement of the accuracy of fingerprint minutiae extraction and the performance of minutiae matching.",

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isbn = "1424401364",

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note = "IECON 2006 - 32nd Annual Conference on IEEE Industrial Electronics ; Conference date: 06-11-2006 Through 10-11-2006",

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Chen, CH & Chiu, KE 2006, 1-D Gabor directional filtering for low-quality fingerprint image enhancement. 於 IECON 2006 - 32nd Annual Conference on IEEE Industrial Electronics., 4153313, IECON Proceedings (Industrial Electronics Conference), 頁 3466-3470, IECON 2006 - 32nd Annual Conference on IEEE Industrial Electronics, Paris, France, 6/11/06. https://doi.org/10.1109/IECON.2006.347978

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AU - Chiu, Kuo En

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AB - Automatic fingerprint identification is widely considered as the most reliable biometric person identification technique. The fingerprint recognition performance depends on the quality of fingerprint images. In this paper, we propose a method which applies a 1-D Gabor filter for ridge orientation estimation and image enhancement as well. The proposed method produces higher efficiency and better ridge smoothness than the conventional 2-D Gabor filtering. This approach contributes to the improvement of the accuracy of fingerprint minutiae extraction and the performance of minutiae matching.

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SN - 1424401364

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1-D Gabor directional filtering for low-quality fingerprint image enhancement

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