Title :
Fingerprint enhancement by directional filtering
Author :
Chakraborty, Sreya ; Rao, K.R.
Author_Institution :
Electr. Eng. Univ. of Texas at Arlington, Arlington, TX, USA
Abstract :
The important step in fingerprint matching is the reliable fingerprint recognition. Automatic fingerprint recognition system relies on the input fingerprint for feature extraction. Hence, the effectiveness of feature extraction relies heavily on the quality of input fingerprint images. In this paper adaptive filtering in frequency domain in order to enhance the fingerprint image is proposed. Enhancement of the original fingerprint image is obtained by histogram equalization of the Gabor filtered image.
Keywords :
Gabor filters; adaptive filters; feature extraction; fingerprint identification; image enhancement; image matching; Gabor filtered image; adaptive filtering; automatic fingerprint recognition system; directional filtering; feature extraction; fingerprint image enhancement; fingerprint matching; frequency domain; histogram equalization; input fingerprint images; reliable fingerprint recognition; Equations; Fingerprint recognition; Gabor filters; Histograms; Image matching; Mathematical model; AFIS; FFT; LRO; LRS;
Conference_Titel :
Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON), 2012 9th International Conference on
Conference_Location :
Phetchaburi
Print_ISBN :
978-1-4673-2026-9
DOI :
10.1109/ECTICon.2012.6254113
