DocumentCode
1496360
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
Volume
35
Issue
4
fYear
1999
fDate
2/18/1999 12:00:00 AM
Firstpage
288
Lastpage
290
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;
fLanguage
English
Journal_Title
Electronics Letters
Publisher
iet
ISSN
0013-5194
Type
jour
DOI
10.1049/el:19990213
Filename
756656
Link To Document