Fpga-Based Accelerator For The Identification Of Finger Vein Pattern Via K-Nearest Centroid Neighbors
In recent years, finger vein recognition has emerged as a promising biometric technology due to the fact that each person in this world has unique finger vein pattern. Over the past few years, various finger vein recognition algorithms and techniques have been proposed by researchers and scholars. T...
Main Author: | Yew , Tze Ee |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2016
|
Subjects: | |
Online Access: | http://eprints.usm.my/41321/1/YEW_TZE_EE_24_Pages.pdf |
Similar Items
-
Development of Signal Segmentation Technique and Improved Fuzzy K Nearest Centroid Neighbor (Ifkncn) Classifier for Audio Identification System
by: Jaafar, Haryati
Published: (2015) -
You tube spam comment detection using support vector machine and k–nearest neighbor
by: Aziz, Aqliima, et al.
Published: (2017) -
Voltage clamp simulations of cardiac excitation: FPGA implementation
by: Mahmud, Farhanahani, et al.
Published: (2016) -
Time Synchronization Using Distributed Observer Algorithm With Sliding Mode Control For Wireless Sensor Network
by: Yew, Tze Hui
Published: (2015) -
Method For Validating The Integrity Of Clock Network Signal In Fpga Device
by: Bakar, Maya Abu
Published: (2015)