Improvement of Human Face Recognition Algorithm Based on PCA
REN Anhu
WANG Lei
Abstract：With the rapid development of biometrics,human face recognition technology has become a research hotspot. PCA algorithm is one of the most adopted algorithms for human face recognition,and has gained wide recognition for its high identification speed and accuracy.Conversely,with external interference factors,traditional PCA algorithm is affected in its identification efficiency.The results of the present experiment indicate that identification accuracy and anti-jamming of algo-rithm are improved through combining with Adaboost algorithm and adopting three pretreatment methods in original image processing:de-noise processing,histogram equalization and histogram normalization.The experiment result shows that the i-dentification of improved PCA has increased 10% than traditional PCA algorithm,and identification speed has increased 30%.
Keywords：biometricsface identificationPCA algorithmidentification efficiency
Publication Date：2016-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：4( 2110-2112,2143 )