FACE RECOGNITION BASED ON WAVELET-CURVELET-FRACTAL TECHNIQUE

作     者：Zhang Zhong Zhuang Peidong Liu Yong Ding Qun Ye Hong＇an 

作者机构：Department of Electronic Engineering Heilongjiang University Harbin 150080 China 

出 版 物：《Journal of Electronics(China)》 (电子科学学刊（英文版）)

年 卷 期：2010年第27卷第2期

页      面：206-211页

学科分类：1305[艺术学-设计学（可授艺术学、工学学位）] 13[艺术学] 081104[工学-模式识别与智能系统] 08[工学] 0804[工学-仪器科学与技术] 081101[工学-控制理论与控制工程] 0811[工学-控制科学与工程] 

基　　金：Supported by the College of Heilongjiang Province, Electronic Engineering Key Lab Project dzzd200602 Heilongjiang Province Educational Bureau Scientific Technology Important Project 11531z18 

主　　题：Face recognition Wavelet decomposition Curvelet transform Fractal Facial feature extraction 

摘      要：In this paper,a novel face recognition method,named as wavelet-curvelet-fractal technique,is proposed. Based on the similarities embedded in the images,we propose to utilize the wave-let-curvelet-fractal technique to extract facial features. Thus we have the wavelet’s details in diagonal,vertical,and horizontal directions,and the eight curvelet details at different angles. Then we adopt the Euclidean minimum distance classifier to recognize different faces. Extensive comparison tests on dif-ferent data sets are carried out,and higher recognition rate is obtained by the proposed technique.