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
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;
Conference_Titel :
Computer Graphics and Image Processing, 2002. Proceedings. XV Brazilian Symposium on
Print_ISBN :
0-7695-1846-X
DOI :
10.1109/SIBGRA.2002.1167177