Fast Matching Algorithm Based on Fingerprint Classification Information
Author: Na Li, Wenbi Rao, Tiecheng Xu
Journal: International Journal of Wireless and Microwave Technologies(IJWMT) @ijwmt
Article in issue: 2 Vol.1, 2011.
Free access
This paper focuses on fingerprint minutia matching algorithm. A special minutia neighbor structure is proposed during the matching process in this algorithm. It can locate fingerprints using the singular from classification information. In addition, minutia structure can be used to save the time of matching minutia in a simple but effective way. Then, the matching of minutia is based on the changeable sized boundary box. At the same time, possible reference position is computed to make sure the algorithm more robust to nonlinear deformation from fingerprint images. Experimental results on Fingerprint verification competition FVC2004 databases show that this algorithm can speed up the matching of fingerprint database with a preferable performance.
Fingerprint identification, classification, matching, singular point
Short address: https://sciup.org/15012730
IDR: 15012730
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