Title :
Fingerprint feature matching using CNNs
Author :
Gao, Qun ; Moschytz, George S.
Author_Institution :
Swiss Fed. Labs. for Mater., EMPA, Switzerland
Abstract :
Feature matching is the last, deciding stage in fingerprint-based verification system. In this paper, a fingerprint feature matching algorithm which is tailor-made for CNNs is presented. Together with the previously developed CNN image-preprocessing and feature extraction algorithms, it realizes a CNN-based fingerprint verification system. The effectiveness of the proposed algorithm, more precisely, the performance of the entire system is evaluated by using a real fingerprint database.
Keywords :
cellular neural nets; feature extraction; fingerprint identification; image matching; image processing; cellular neural networks; feature extraction algorithms; fingerprint feature matching; fingerprint-based verification system; image preprocessing; real fingerprint database; Bifurcation; Cellular neural networks; Feature extraction; Fingerprint recognition; Fingers; Image databases; Image matching; Laboratories; Materials testing; Spatial databases;
Conference_Titel :
Circuits and Systems, 2004. ISCAS '04. Proceedings of the 2004 International Symposium on
Print_ISBN :
0-7803-8251-X
DOI :
10.1109/ISCAS.2004.1328686
