Low Quality Fingerprint Image Enhancement Based on Gabor Filter
Fingerprint enhancement proceeds by fully utilizing the intrinsic properties of original images to improve the ridges and eliminate the noises. Although Gabor filter is a classical enhancement method, its function may suffer for the low-quality images due to the unreliable orientation and frequency map estimated by conventional approach. In this paper, a new approach has been proposed to estimate these parameters in an effective way. The local image is modeled as a non-stationary signal and the technique of Short Time Fourier Transform(STFT) is applied to it Besides, to avoid the multi-step processing and inter-dependency, we extend the theory of probability in mathematics to get the orientation and frequency simultaneously. The performance of our approach is evaluated by the verification system of NIST and FVC2004 DB1A database. Experimental results show that our method can improve both the image quality and the accuracy of fingerprint recognition.
STFT Gabor filter fingerprint enhancement
Yi Hu Xiaojun Jing Bo Zhang Xifu Zhu
School of Information and Communication Engineering Beijing University of Posts and Telecommunications Beijing, China
国际会议
The 2nd IEEE International Conference on Advanced Computer Control(第二届先进计算机控制国际会议 ICACC 2010)
沈阳
英文
195-199
2010-03-27（万方平台首次上网日期，不代表论文的发表时间）