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

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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:	T Technology (General) QA75.5-76.95 Electronic computers. Computer science
Online Access:	http://shdl.mmu.edu.my/2949/ http://shdl.mmu.edu.my/2949/1/A%20Study%20on%20Optimal%20Face%20Ratio.pdf

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