DocumentCode
423781
Title
A new fingerprint translation finding algorithm
Author
Ma, Hui-min ; Huang, Ru-Ke
Author_Institution
Dept. of Electron. Eng., Tsinghua Univ., Beijing, China
Volume
6
fYear
2004
fDate
26-29 Aug. 2004
Firstpage
3583
Abstract
Judging the translation and rotation between the input fingerprint and the template fingerprint is the prerequisite for fingerprint matching, and the process is rather time consuming. We propose a new algorithm of finding the translation between two point sets and its application in fingerprint minutiae matching. This new algorithm is based on the frequency statistic character of the translation vector matrix of two point sets, and has fast processing speed and independence of the locating accuracy of reference points. This method is not only applicable in judging two identical point sets, but also valid in judging two point sets with partial overlapped regions. By using this technique, we achieve a fast speed in finding the translation between two matched minutiae sets, much faster than the traditional method.
Keywords
fingerprint identification; image matching; fingerprint matching; fingerprint translation finding algorithm; frequency statistic character; matched minutiae sets; translation vector matrix; CMOS image sensors; Databases; Fingerprint recognition; Fingers; Focusing; Frequency estimation; Optical distortion; Optical sensors; Statistics; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on
Print_ISBN
0-7803-8403-2
Type
conf
DOI
10.1109/ICMLC.2004.1380413
Filename
1380413
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