DocumentCode :
2974309
Title :
A new paradigm on fingerprint classification using directional image
Author :
Costa, Silvia M Farani ; Oliveira, JoÃo Marcelo V De ; Fernandez, Francisco Javier Ramirez
Author_Institution :
Escola Politecnica, Sao Paulo Univ., Brazil
fYear :
2002
fDate :
2002
Firstpage :
405
Abstract :
This work presents a simple method to obtain fingerprint classification via directional map smoothing. The program was developed in C++ language, using statistical techniques. The strategy allows to extract attributes of an image and to increase the quality of the process due to the reduction of noise, compared with results obtained by other methods. The experimental results obtained by this technique demonstrate that a better directional map is arranged.
Keywords :
fingerprint identification; image classification; image denoising; smoothing methods; C++ language; directional image; directional map smoothing; fingerprint classification; noise reduction; statistical techniques; Authorization; Biometrics; Fingerprint recognition; Frequency; Image databases; Image matching; Noise reduction; Smoothing methods; Statistical distributions; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Graphics and Image Processing, 2002. Proceedings. XV Brazilian Symposium on
ISSN :
1530-1834
Print_ISBN :
0-7695-1846-X
Type :
conf
DOI :
10.1109/SIBGRA.2002.1167177
Filename :
1167177
Link To Document :
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