Title :
A Gabor filter-based approach to fingerprint recognition
Author :
Lee, Chih-Jen ; Wang, Sheng-De
Author_Institution :
Dept. of Electr. Eng., Nat. Taiwan Univ., Taipei, Taiwan
fDate :
6/21/1905 12:00:00 AM
Abstract :
We propose a Gabor-filter-based method for fingerprint recognition in this paper. The method makes use of Gabor filtering technologies and need only to do the core point detection before the feature extraction process without any other pre-processing steps such as smoothing, binarization, thinning, and minutiae detection. The proposed Gabor-filter-based features play a central role in the processes of fingerprint recognition, including local ridge orientation, core point detection, and feature extraction. Experimental results show that the recognition rate of the k-nearest neighbor classifier using the proposed features is 97.2% for a small-scale fingerprint database, and thus that the proposed method is an efficient and reliable approach
Keywords :
feature extraction; fingerprint identification; image matching; Gabor filter; Gabor filtering; core point detection; feature extraction; fingerprint database; fingerprint recognition; k-nearest neighbor classifier; local ridge orientation; Bifurcation; Face recognition; Feature extraction; Filtering; Fingerprint recognition; Frequency; Gabor filters; Handwriting recognition; Smoothing methods; Spatial databases;
Conference_Titel :
Signal Processing Systems, 1999. SiPS 99. 1999 IEEE Workshop on
Conference_Location :
Taipei
Print_ISBN :
0-7803-5650-0
DOI :
10.1109/SIPS.1999.822342