.png){kind=icon}
Return
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}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
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.
Keywords:
Genetic algorithm
Fingerprint matching
Fitness value
Graph minutiae
Optimization
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
7.5
Papers:
2.9W
Citations:
10.2W
Organization
Cited Papers
ShareSaveShareSaveShareSaveShareSaveShareSaveShareSaveExperimental and Computational Mutagenesis To Investigate the Positioning of a General Base within an Enzyme Active Site.png)
Biochemistry
OAAI
BiochemistryIF0
OAAIShareSave
View more