@inbook{d03b4fa6306d4061a55aa13d42d89dc8,
title = "Performance improvement in a fingerprint classification system using anisotropic diffusion",
abstract = "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 Direcci{\'o}n Nacional de Identification 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.",
author = "Gonzalo Vallarino and Gustavo Gianarelli and Jose Barattini and Alvaro G{\'o}mez and Alicia Fern{\'a}ndez and Alvaro Pardo",
year = "2004",
doi = "10.1007/978-3-540-30463-0_73",
language = "Ingl{\'e}s",
isbn = "3540235272",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "582--588",
editor = "Alberto Sanfeliu and Martinez-Trinidad, {Jose Francisco} and Carrasco-Ochoa, {Jesus Ariel}",
booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
}