DocumentCode :
1661268
Title :
Singular points detection in fingerprint images using Gabor transform
Author :
Lee, Chih-Jen ; Jeng, I-Horng ; Yang, Tai-Ning ; Chen, Chun-Jung ; Lin, Keng-Li
Author_Institution :
Dept. of Comput. Sci., Chinese Culture Univ., Taipei
fYear :
2008
Firstpage :
2078
Lastpage :
2081
Abstract :
In fingerprints, singular points, including cores and deltas, are very important features. To classify the types of fingerprints, the number and the position of cores and deltas are concerned. For fingerprint matching, some approaches used the core point to align two fingerprint images to overcome the problems from rotation and translation. Therefore, singular points detection is a critical process for both fingerprint matching and fingerprint classification. The process of singular points detection must be robust; otherwise, the performance of the whole fingerprint recognition system would be influenced heavily. In this paper, we will use Gabor transform, sampling by a complete set of Gabor basis functions, to demonstrate the phenomenon of the regions of singular points. Besides, we will develop a robust method to detect singular points.
Keywords :
image classification; image matching; object detection; transforms; Gabor transform; fingerprint classification; fingerprint images; fingerprint matching; fingerprint recognition system; singular points detection; Access control; Authentication; Computer science; Fingerprint recognition; Frequency; Gabor filters; Image matching; Internet; Robustness; Sampling methods;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing, 2008. ICSP 2008. 9th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-2178-7
Electronic_ISBN :
978-1-4244-2179-4
Type :
conf
DOI :
10.1109/ICOSP.2008.4697554
Filename :
4697554
Link To Document :
بازگشت