Finger Vein Recognition Based On An Improved K-Nearest Centroid Neighbor Classifier

Finger Vein Recognition Based On An Improved K-Nearest Centroid Neighbor Classifier

This project is developed to propose an improved K-Nearest Centroid Neighbor classifier for finger vein recognition. Recently, finger vein recognition has become one of the most popular biometric technologies to be used in various applications due to finger vein‟s properties. Several classifiers hav...

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Bibliographic Details
Main Author: Ng, Yee Wei
Format: Monograph
Language:English
Published: Universiti Sains Malaysia 2017
Subjects:
T Technology
TK Electrical Engineering. Electronics. Nuclear Engineering
Online Access:http://eprints.usm.my/53145/1/Finger%20Vein%20Recognition%20Based%20On%20An%20Improved%20K-Nearest%20Centroid%20Neighbor%20Classifier_Ng%20Yee%20Wei_E3_2017.pdf
http://eprints.usm.my/53145/
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Institution: Universiti Sains Malaysia
Language: English

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http://eprints.usm.my/53145/1/Finger%20Vein%20Recognition%20Based%20On%20An%20Improved%20K-Nearest%20Centroid%20Neighbor%20Classifier_Ng%20Yee%20Wei_E3_2017.pdf
http://eprints.usm.my/53145/

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