Journal of Changshu Institute of Technology2011，Vol.25Issue(8)：101-105,5.
一种改进的彩色人脸鉴别特征抽取方法及自动识别
A New Color Facial Identification Feature Extraction Method＇ and Automatic Identification
高燕 1明曙军 1刘永俊1
作者信息
- 1. 常熟理工学院计算机科学与工程学院,江苏常熟215500
- 折叠
摘要
Abstract
Currently face recognition has made some success, algorithms are constantly being improved. According to the common needs of the average sample solution in traditional linear analysis methods, this paper proposes the face recognition based on intermediate samples. This method can remove the influence of average samples to interference samples. Combined with the color of face recognition, the paper proposes color facial identification feature extraction and automatic identification based on the middle samples. Finally, extensive experiments performed on the international and universal AR standard color face database verify the effectiveness of the proposed method.关键词
中间样本/彩色人脸识别/鉴别特征/特征抽取/自动识别Key words
middle samples/color face recognition/discriminating characteristics/feature extraction/automatic identification分类
信息技术与安全科学引用本文复制引用
高燕,明曙军,刘永俊..一种改进的彩色人脸鉴别特征抽取方法及自动识别[J].Journal of Changshu Institute of Technology,2011,25(8):101-105,5.
