Paper Title:

Comparison System of Face Identification Algorithms under Application-Specific

Periodical Advanced Materials Research (Volumes 268 - 270)
Main Theme Computational Materials Science
Edited by Feng Xiong
Pages 2072-2076
DOI 10.4028/www.scientific.net/AMR.268-270.2072
Citation Jian Feng Zhao et al., 2011, Advanced Materials Research, 268-270, 2072
Online since July, 2011
Authors Jian Feng Zhao, Wen Hua Zeng, Min Liu
Keywords Bayesian, Face Identification Evaluation System, LDA, Principal Component Analysis (PCA)
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It has been the academic researching subject how to objectively compare the various face identification algorithms. This paper design a system based on the Colorado State University identification evaluation system, which can compare face identification algorithms under application-specific. First of all, introduced the old system; then taken the logging system for desktop of PC as an example, designed the comparing system of face identification algorithms under application-specific, coded the process of achieving and pre-processed data and described the steps of processing data; at last tested PCA_MahCosine, LDA_ldaSoft, Bayesian_ML, PCA_Euclidean and Bayesian_MAP five common face identification methods, conclude Bayesian_ML algorithm is the best algorithm in face recognition logging system for logging on PC desktop and give the parameter in the system, provide a sample for testing face identification algorithms under application-specific.

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