DocumentCode :
2464079
Title :
A modular architecture based on image quality for fingerprint spoof detection
Author :
Cavalcanti, George D C ; Pereira, Luis Filipe A ; Pinheiro, Hector N B ; Silva, Jose Ivson S ; Silva, Anderson G. ; Pina, Thais M L ; Carvalho, Daniel B O ; Ren, Tsang Ing
Author_Institution :
Itautec Labs., Fed. Univ. of Pernambuco - UFPE, Recife, Brazil
fYear :
2012
fDate :
14-17 Oct. 2012
Firstpage :
258
Lastpage :
262
Abstract :
This work proposes an improvement for fingerprint spoof detection in order to reduce the occurrence of live fingerprints from elderly people taken as spoof. The novel architecture combines classifiers working independently into two distinct image quality groups. The results show that high quality spoof images are easily detected, the misclassification rate for live fingerprints is reduced by 64.0% and the overall system performance increases 49.61%.
Keywords :
fingerprint identification; image classification; object detection; classifiers; elderly people; fingerprint spoof detection; high quality spoof images; image quality groups; modular architecture; Feature extraction; Fingerprint recognition; Image quality; Indexes; Security; Senior citizens; Biometrics; classifier combination; fingerprint; spoof detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man, and Cybernetics (SMC), 2012 IEEE International Conference on
Conference_Location :
Seoul
Print_ISBN :
978-1-4673-1713-9
Electronic_ISBN :
978-1-4673-1712-2
Type :
conf
DOI :
10.1109/ICSMC.2012.6377710
Filename :
6377710
Link To Document :
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