Performance improvement in a fingerprint classification system using anisotropic diffusion

 

Autor(es):
Pardo, Alvaro ; Fernández, Alicia ; Gómez, Alvaro ; Barattini, Jose ; Gianarelli, Gustavo ; Vallarino, Gonzalo
Tipo:
Preprint
Versión:
Enviado
Resumen:

In a previous work, [1], we evaluated a classification algorithm based on the Karu-Jain method [2] and compared the performance with a fully manual method used at the Dirección Nacional de Identificación Civil (DNIC). In this paper, we analyze the high performance improvement achieved using anisotropic diffusion instead of pure averaging for the directions smoothing. We also define a quality measure that shows high correlation with the experts’ criteria. The results are evaluated over 2800 images extracted from a 4 million fingerprint card archive maintained by DNIC.

Año:
2004
Idioma:
Inglés
Temas:
PROCESAMIENTO de SEÑALES
Institución:
Universidad de la República
Repositorio:
COLIBRI
Enlace(s):
https://hdl.handle.net/20.500.12008/21149
Nivel de acceso:
Acceso abierto