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