Face Recognition Based on Feature Fusion of CS-LDP and LCCP
TANG Xiao
ZHANG Ge
LIU Zengli
Abstract：Face recognition is an active research area in the artificial intelligence. In this paper,a hybrid method of cen-ter-symmetric local derivative pattern(CS-LDP)and local center-symmetric pattern(LCCP)algorithm are proposed. The algo-rithm of the image is extract CS-LDP feature information and LCCP feature information. Further more,the features calculated by CS-LDP and LCCP are combined to obtain the final texture features.Finally,The results of face recognition are obtained by calcu-lating the histogram of Euclidean distance.The results show that CS-LDP extracts the second order differential feature and LCCP ex-tracts the irregularities feature of images.Then effective image feature recognition information by integration of two features is gotten. Then experiments on ORL,AR and Yale B face database and done.Compared to CS-BP algorithm and LBP algorithm,the recogni-tion rate is improved.
Keywords：CS-LDPLCCPfeature fusingface recognition
Publication Date：2018-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 890-895 )