An enhancement algorithm for low quality fingerprint image based on edge filter and Gabor filter

Jun-tao Xue; Jie Liu; Zheng-guang Liu

doi:10.1117/12.833498

5 August 2009 An enhancement algorithm for low quality fingerprint image based on edge filter and Gabor filter

Jun-tao Xue, Jie Liu, Zheng-guang Liu

Proceedings Volume 7383, International Symposium on Photoelectronic Detection and Imaging 2009: Advances in Infrared Imaging and Applications; 73832C (2009) https://doi.org/10.1117/12.833498
Event: International Symposium on Photoelectronic Detection and Imaging 2009, 2009, Beijing, China

Abstract

On account of restriction of man-made and collection environment, the fingerprint image generally has low quality, especially a contaminated background. In this paper, an enhancement algorithm based on edge filter and Gabor filter is proposed to solve this kind of fingerprint image. Firstly, a gray-based algorithm is used to enhance the edge and segment the image. Then, a multilevel block size method is used to extract the orientation field from segmented fingerprint image. Finally, Gabor filter is used to fulfill the enhancement of the fingerprint image. The experiment results show that the proposed enhancement algorithm is effective than the normal Gabor filter algorithm. The fingerprint image enhance by our algorithm has better enhancement effect, so it is helpful for the subsequent research, such as classification, feature exaction and identification.

Citation Download Citation

Jun-tao Xue, Jie Liu, and Zheng-guang Liu "An enhancement algorithm for low quality fingerprint image based on edge filter and Gabor filter", Proc. SPIE 7383, International Symposium on Photoelectronic Detection and Imaging 2009: Advances in Infrared Imaging and Applications, 73832C (5 August 2009); https://doi.org/10.1117/12.833498

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