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