Application of Adaptive Filter on Touchless Fingerpint Verification System Using Mathlab

IJARCSSE

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Field Value
 
Title Application of Adaptive Filter on Touchless Fingerpint Verification System Using Mathlab
 
Creator Chijindu, Asogwa Tochukwu
 
Description This work presents the application of adaptive filters on fingerprint verification system using mathlab. The aim of this work is to implement this proposed image processing technique (adaptive filter), which our research revealed is more reliable than the conventional linear filtering techniques to enhance the accuracy of the existing system. The work employed other processes like the adaptive histogram equalization, segmentation, feature extraction and machine learning techniques to develop a Touchless fingerprint system. The system validation and performance evaluation were recorded with a recognition accuracy of 97% and a total processing time of not more than one minute, and tested using a local dataset of camera captured fingerprint images created by the author.
 
Publisher International Journal of Advanced Research in Computer Science and Software Engineering
 
Contributor
 
Date 2019-07-30
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
 
Format application/pdf
 
Identifier http://ijarcsse.com/index.php/ijarcsse/article/view/1045
10.23956/ijarcsse.v9i7.1045
 
Source International Journal of Advanced Research in Computer Science and Software Engineering; Vol 9, No 7 (2019): July- 2019; 21-26
2277128X
22776451
10.23956/ijarcsse.v9i7
 
Language eng
 
Relation http://ijarcsse.com/index.php/ijarcsse/article/view/1045/607
 
Rights Copyright (c) 2019 International Journal of Advanced Research in Computer Science and Software Engineering
 

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