计算机工程与应用Issue(17)：186-189,4.DOI:10.3778/j.issn.1002-8331.1303-0359
基于二进小波变换和仿生模式识别的人脸识别
Face recognition based on dyadic wavelet transform and biomimetic pattern recognition
摘要
Abstract
Aiming at robustness of face recognition under the condition of illumination perturbations and facial variety, a face recognition method based on dyadic wavelet transform and biomimetic pattern recognition is proposed in this paper. The spline dyadic wavelet is applied to face images. The detail subbands are merged by concatenation. The facial images are treated and reduced dimension respectively by FFT(Fast Fourier Transform)and PCA(Principal Component Analysis). The feature vectors are learned and recognized by biomimetic pattern recognition. The experimental results prove that the correct recognition rate of the method in this paper is higher than traditional recognition method.关键词
人脸识别/小波变换/仿生模式识别Key words
face recognition/wavelet transform/biomimetic pattern recognition分类
信息技术与安全科学引用本文复制引用
陈勇,王宪保..基于二进小波变换和仿生模式识别的人脸识别[J].计算机工程与应用,2013,(17):186-189,4.基金项目
国家自然科学基金（No.60871093）；浙江教育厅科研项目（No.200907801）；宁波市自然科学基金（No.2012A610050）。 （）
