A Study on Optimal Face Ratio for Recognition Using Part-based Feature Extractor

This paper aims to investigate the optimal face ratio for recognition. Face data are normalized to several ratios, which are 25%, 50% (equivalent to right and left face), and 75% of the full-face. The advantages of using different face ratios are these face data reduce the amount of computational po...

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Bibliographic Details
Main Authors: Neo, Han Foon, Teo, Chuan Chin, Teoh, Andrew Beng Jin
Format: Conference or Workshop Item
Language:English
Published: IEEE 2007
Subjects:
Online Access:http://shdl.mmu.edu.my/2949/
http://shdl.mmu.edu.my/2949/1/A%20Study%20on%20Optimal%20Face%20Ratio.pdf