5 August 2009 An enhancement algorithm for low quality fingerprint image based on edge filter and Gabor filter
Author Affiliations +
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.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jun-tao Xue, Jun-tao Xue, Jie Liu, Jie Liu, Zheng-guang Liu, 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); doi: 10.1117/12.833498; https://doi.org/10.1117/12.833498
PROCEEDINGS
7 PAGES


SHARE
Back to Top