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