DocumentCode :
2594037
Title :
Fingerprint Indexing Based On Symmetrical Measurement
Author :
Li, Jun ; Yau, Wei-Yun ; Wang, Han
Author_Institution :
Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ.
Volume :
1
fYear :
0
fDate :
0-0 0
Firstpage :
1038
Lastpage :
1041
Abstract :
Due to the small number of classes and uneven distribution, the Henry´s fingerprint classification approach is not able to provide an efficient way to narrow down the search when identifying a person in a large database. In this paper, three symmetrical filters are used to measure different orientation structures. We proposed a new fingerprint indexing approach based on these three symmetrical measurements. Experiments conducted on the NIST database 4 show the effectiveness of the proposed approach
Keywords :
fingerprint identification; image classification; fingerprint indexing; symmetrical filter; symmetrical measurement; Costs; Data engineering; Euclidean distance; Filters; Fingerprint recognition; Fingers; Humans; Karhunen-Loeve transforms; NIST; Spatial databases;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 2006. ICPR 2006. 18th International Conference on
Conference_Location :
Hong Kong
ISSN :
1051-4651
Print_ISBN :
0-7695-2521-0
Type :
conf
DOI :
10.1109/ICPR.2006.568
Filename :
1699066
Link To Document :
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