Title :
Low quality fingerprint image enhancement based on Gabor filter
Author :
Hu, Yi ; Jing, Xiaojun ; Zhang, Bo ; Zhu, Xifu
Author_Institution :
Sch. of Inf. & Commun. Eng., Beijing Univ. of Posts & Telecommun., Beijing, China
Abstract :
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 DB1_A database. Experimental results show that our method can improve both the image quality and the accuracy of fingerprint recognition.
Keywords :
Fourier transforms; Gabor filters; fingerprint identification; image enhancement; probability; FVC2004 DB1_A database; Gabor filter; NIST database; fingerprint recognition; frequency map; low quality fingerprint image enhancement; probability theory; short time Fourier transform; Cellular neural networks; Fingerprint recognition; Fingers; Frequency estimation; Gabor filters; Image databases; Image matching; Mathematics; NIST; Parameter estimation; Gabor filter; STFT; fingerprint enhancement;
Conference_Titel :
Advanced Computer Control (ICACC), 2010 2nd International Conference on
Conference_Location :
Shenyang
Print_ISBN :
978-1-4244-5845-5
DOI :
10.1109/ICACC.2010.5487213