A hybrid fingerprint enhancement algorithm

Li Min Liu*, Tian-Shyr Dai

*Corresponding author for this work

研究成果: Conference contribution同行評審

2 引文 斯高帕斯(Scopus)

摘要

Fingerprint image enhancement is a common and critical step in fingerprint recognition systems. To enhance the images, most of the existing enhancement algorithms use filtering techniques that can be categorized into isotropic and anisotropic according to the filter kernel. Isotropic filtering can properly preserve features on the input images but can hardly improve the quality of the images. On the other hand, anisotropic filtering can effectively remove noises from the image but only when a reliable orientation is provided. In this paper, we propose an orientation estimation and verification algorithm which can not only generate an orientation of ridge flows, but also verify its reliability. Based on this algorithm, a hybrid fingerprint enhancement algorithm is developed which applies isotropic filtering on regions without reliable orientations and anisotropic filtering on regions with reliable orientations. Experimental results show the proposed algorithm can combine advantages of both isotropic and anisotropic filtering techniques and generally improve the quality of fingerprint images.

原文English
主出版物標題Proceedings of the 2006 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV'06
頁面35-40
頁數6
出版狀態Published - 1 十二月 2006
事件2006 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV'06 - Las Vegas, NV, United States
持續時間: 26 六月 200629 六月 2006

出版系列

名字Proceedings of the 2006 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV'06
1

Conference

Conference2006 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV'06
國家United States
城市Las Vegas, NV
期間26/06/0629/06/06

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