Automatic fingerprints image generation using evolutionary algorithm

被引：0
|
作者：
Cho, Ung-Keun [1 ]
Hong, Jin-Hyuk [1 ]
Cho, Sung-Bae [1 ]
机构：
[1] Yonsei Univ, Biometr Engn Res Ctr, Dept Comp Sci, 134 Sinchon Dong, Seoul 120749, South Korea
来源：
NEW TRENDS IN APPLIED ARTIFICIAL INTELLIGENCE, PROCEEDINGS | 2007年 / 4570卷
关键词：
fingerprint identification performance evaluation; genetic algorithm; image filtering; image generation;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Constructing a fingerprint database is important to evaluate the performance of automatic fingerprint recognition systems. Because of the difficulty in collecting fingerprint samples, there are only few benchmark databases available. Moreover, various types of fingerprints are required to measure how robust the system is in various environments. This paper presents a novel method that generates various fingerprint images automatically from only a few training samples by using the genetic algorithm. Fingerprint images Generated by the proposed method include similar characteristics of those collected from a corresponding real environment. Experiments with real fingerprints verify the usefulness of the proposed method.
引用
收藏
页码：444 / +
页数：2
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