Age Classification using Facial Feature Extraction on Female and Male Images

摘要：

This paper presents age classification on facial images using subpattern-based Local Binary Patterns (LBP) method. Classification of age intervals are conducted separately on female and male facial images since the aging process for female and male is different for human beings in real life. The age classification performance of the holistic approaches is compared with the performance of subpattern-based LBP approach in order to demonstrate the performance differences between these two types of approaches. To be consistent with the research of others, our work has been tested on two publicly available databases namely FGNET and MORPH. The experiments arc performed on these aging databases to demonstrate the age classification performance on female and male facial images of human beings using subpattern-based LBP method with several parameter settings. The results are then compared with the results of age classification of the holistic PCA and holistic subspace LDA methods.

关键词： Age Classification Local Binary Patterns Principal Component Analysis Subspace Linear Discriminant Analysis

作者: Fatemeh MIRZAEI Onsen TOYGAR

作者单位: Computer Engineering Department, Eastern Mediterranean University,Gazimagusa, Northern Cyprus, Mersin 10, Turkey

会议类型: 国际会议

会议名称: Third International Conference on Digital Image Processing(ICDIP 2011)(第三届数字图像处理国际会议)

会议地点: 成都

会议语种:英文

页码: 268-273

在线出版日期: 2011-04-15（万方平台首次上网日期，不代表论文的发表时间）