Title :
A novel model for orientation field of fingerprints
Author :
Gu, Jinwei ; Zhou, Jie
Author_Institution :
Dept. of Autom., Tsinghua Univ., Beijing, China
Abstract :
As a global feature of the fingerprint, the orientation field is very important to an automatic fingerprint identification system (AFIS). Establishing an accurate and precise model for the orientation field will not only improve the performance of orientation estimation, but will also make it feasible to apply orientation information into the matching process. Such a novel model for the orientation field for a fingerprint is proposed. We use a polynomial model to approximate the orientation field globally and a point-charge model at each singular point to improve the approximation locally. These two models are combined together by a weight function. Experimental results are provided to illustrate that this combination model is more accurate and robust to noise compared with previous works. Its applications are also discussed.
Keywords :
feature extraction; fingerprint identification; image matching; polynomial approximation; AFIS; automatic fingerprint identification system; biometrics; fingerprint feature; fingerprint pattern; image matching; orientation estimation; orientation field model; personal identification; point-charge model; polynomial approximation; weight function; Automation; Bifurcation; Biometrics; Databases; Fingerprint recognition; Frequency; Large-scale systems; Noise robustness; Poles and zeros; Polynomials;
Conference_Titel :
Computer Vision and Pattern Recognition, 2003. Proceedings. 2003 IEEE Computer Society Conference on
Print_ISBN :
0-7695-1900-8
DOI :
10.1109/CVPR.2003.1211507