Title :
Fingerprint Feature-Point Matching Based on Motion Coherence
Author :
Wen, Chengming ; Guo, Tiande ; Wang, Shuguang
Author_Institution :
Sch. of Math. Sci., Grad. Univ. of Chinese Acad. of Sci., Beijing, China
Abstract :
Fingerprint matching is very important for automatic fingerprint recognition system (AFIS). After local structure matching, one minutia in query fingerprint may have multiple candidate matching minutiae in template fingerprint. So how to get right one-to-one matching pairs has great effect on the performance of fingerprint matching algorithm. In this paper, a global fingerprint matching algorithm is presented. The main contribution of this paper is that a novel and efficient algorithm for getting one-to-one matching pairs based on motion coherence is proposed. Motion coherence is a very useful feature for fingerprint matching. The algorithm is tested on a public database FVC2002 DB1_A and FVC2004 DB1_A. Experimental results show that the proposed algorithm is performed well compared with other ones.
Keywords :
fingerprint identification; image matching; image motion analysis; FVC2002 DB1_A; FVC2004 DB1_A; automatic fingerprint recognition system; fingerprint feature-point matching; global fingerprint matching algorithm; local structure matching; motion coherence; query fingerprint; template fingerprint; Automation; Clustering algorithms; Conference management; Engineering management; Fingerprint recognition; Information management; Information technology; Pattern matching; Technology management; Testing; fingerprint; minutiae; motion coherence; recognition;
Conference_Titel :
Future Information Technology and Management Engineering, 2009. FITME '09. Second International Conference on
Conference_Location :
Sanya
Print_ISBN :
978-1-4244-5339-9
DOI :
10.1109/FITME.2009.62
