.png){kind=icon}
返回
A robust method for partial deformed fingerprints verification using genetic algorithm
.png){kind=icon}
PRE
AI
DOI：10.1016/j.eswa.2007.12.011.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Fingerprint verification is a well-researched problem, and automatic fingerprint verification techniques have been Successfully adapted to both civilian and forensic applications for many years. However, this technology suffers from the problem of handling incomplete prints and often discards my partial fingerprints obtained. Recent research has begun to delve into the problems of incomplete or partial fingerprints. Genetic algorithm is developed to improvement of deformed ridges and complex distortions in fingerprints verification system. In order to deal with low quality fingerprint images. Experimental results demonstrate the robustness Of Our algorithm to other methods. And results show that the speed is raised using this method in the overall Of the Most Optimum. (C) 2007 Elsevier Ltd. All rights reserved.
Keyword:
Genetic algorithm
Fingerprint matching
Fitness value
Graph minutiae
Optimization
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
7.5
论文数:
2.9W
被引数:
10.2W
机构
引用论文
分享收藏分享收藏Predicting arrhythmic events after acute myocardial infarction using the signal-averaged electrocardiogram使用信号平均心电图预测急性MI后的心律失常事件
PREAI
分享收藏Experimental and Computational Mutagenesis To Investigate the Positioning of a General Base within an Enzyme Active Site.png)
Biochemistry
OAAI
BiochemistryIF0
OAAI分享收藏
查看更多内容