Title :
On-line fingerprint verification
Author :
Jain, Anil ; Hong, Lin
Author_Institution :
Dept. of Comput. Sci., Michigan State Univ., East Lansing, MI, USA
Abstract :
We describe the design and implementation of an online fingerprint verification system which operates in two stages: (i) minutia extraction and (ii) minutia matching. An improved minutia extraction algorithm that is much faster and more accurate than our earlier algorithm has been implemented. For minutia matching, an alignment-based elastic matching algorithm has been developed. This algorithm is capable of finding the correspondences between input minutiae and the stored template without resorting to exhaustive search and has the ability to adaptively compensate for the nonlinear deformations and inexact pose transformations between finger prints. The system has been tested on two sets of finger print images captured with inkless scanners. The verification accuracy is found to be over 99% with a 15% reject rate. Typically, a complete fingerprint verification procedure takes, on an average, about 8 seconds on a SPARC 20 workstation. It meets the response time requirements of on-line verification with high accuracy
Keywords :
feature extraction; fingerprint identification; image matching; SPARC 20 workstation; alignment-based elastic matching algorithm; inexact pose transformations; inkless scanners; minutia extraction; minutia matching; nonlinear deformations; online fingerprint verification; response time requirements; Access control; Computer science; Feature extraction; Fingerprint recognition; Flowcharts; Image processing; Laboratories; Pattern matching; Pattern recognition; System testing;
Conference_Titel :
Pattern Recognition, 1996., Proceedings of the 13th International Conference on
Conference_Location :
Vienna
Print_ISBN :
0-8186-7282-X
DOI :
10.1109/ICPR.1996.547016