@inproceedings{b689b8956ba24483971fc1a9ada3e1c7,
title = "Evolutionary singularity filter bank optimization for fingerprint image enhancement",
abstract = "Singularity is the special feature of fingerprints for identification and classification. Since the performance of singularity extraction depends on the quality of fingerprint images, image enhancement is required to improve the performance. Image enhancement with various image filters might be more useful than a filter, but it is very difficult to find a set of appropriate filters. In this paper, we propose a method that uses the genetic algorithm to find those filters for superior performance of singularity extraction. The performance of the proposed method has been verified by the experiment with NIST DB 4. Moreover, the proposed method does not need any expert knowledge to find the type and order of filters for the target domain, it can be easily applied to other applications of image processing.",
author = "Cho, {Ung Keun} and Hong, {Jin Hyuk} and Cho, {Sung Bae}",
year = "2006",
doi = "10.1007/11732242_34",
language = "English",
isbn = "3540332375",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "380--390",
booktitle = "Applications of Evolutionary Computing - EvoWorkshops 2006",
address = "Germany",
note = "EvoWorkshops 2006: EvoBIO, EvoCOMNET, EvoHOT, EvoIASP, EvoINTERACTION, EvoMUSART, and EvoSTOC ; Conference date: 10-04-2006 Through 12-04-2006",
}