Title :
Fingerprint feature extraction using Gabor filters
Author :
Lee, Chih-Jen ; Wang, Sheng-De
Author_Institution :
Dept. of Electr. Eng., Nat. Taiwan Univ., Taipei, Taiwan
fDate :
2/18/1999 12:00:00 AM
Abstract :
A Gabor filter-based method for directly extracting fingerprint features from grey-level images without pre-processing is introduced. The proposed method is more efficient and suitable than conventional methods for a small-scale fingerprint recognition system. Experimental results show that the recognition rate of the k-nearest neighbour classifier using the proposed Gabor filter-based features is 97.2%
Keywords :
feature extraction; filtering theory; fingerprint identification; image classification; Gabor filters; fingerprint feature extraction; grey-level images; k-nearest neighbour classifier; recognition rate; small-scale fingerprint recognition system;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:19990213
