DocumentCode :
1942918
Title :
Novel Approaches for Minutiae Verification in Fingerprint Images
Author :
Chikkerur, Sharat ; Govindaraju, Venu ; Pankanti, Sharath ; Bolle, Ruud ; Ratha, Nalini
Author_Institution :
Center for Unified Biometrics & Sensors, Univ. at Buffalo, Buffalo, NY
Volume :
1
fYear :
2005
fDate :
5-7 Jan. 2005
Firstpage :
111
Lastpage :
116
Abstract :
A majority of the existing fingerprint recognition algorithms are based on matching minutia features. Therefore, minutiae extraction is one of the critical steps in fingerprint verification algorithms. Poor quality fingerprint images lead to missing and spurious minutiae that degrade the performance of the matching system. We propose two new techniques for minutiae verification based on non-trivial gray level features. The proposed features intuitively represent the structural properties of the minutiae neighborhood leading to better classification. We use directionally selective steerable wedge filters to differentiate between minutiae and non-minutiae neighborhoods. We also propose a second technique based on Gabor expansion that results in even better discrimination. We present an objective evaluation of both the algorithms.
Keywords :
Gabor filters; feature extraction; fingerprint identification; image classification; image matching; Gabor filter; directionally selective steerable wedge filter; fingerprint image verification algorithm; fingerprint recognition algorithm; gray level feature; image classification; minutia feature extraction; minutia feature matching; Bifurcation; Biometrics; Feature extraction; Filtering; Fingerprint recognition; Gabor filters; Image matching; Image sensors; Neural networks; Venus;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Application of Computer Vision, 2005. WACV/MOTIONS '05 Volume 1. Seventh IEEE Workshops on
Conference_Location :
Breckenridge, CO
Print_ISBN :
0-7695-2271-8
Type :
conf
DOI :
10.1109/ACVMOT.2005.85
Filename :
4129468
Link To Document :
بازگشت