期刊論文

標題 Classification of Age Groups Based on Facial Features
學年 90
學期 1
出版(發表)日期 2001/09/01
作品名稱 Classification of Age Groups Based on Facial Features
作品名稱(其他語言)
著者 洪文斌; Horng, Wen-bing; 李正平; Lee, Cheng-ping; 陳俊文; Chen, Chun-wen
單位 淡江大學資訊工程學系
出版者 淡江大學
著錄名稱、卷期、頁數 淡江理工學刊=Tamkang journal of science and engineering 4(3), pp.183-192
摘要 An age group classification system for gray-scale facial images is proposed in this paper. Four age groups, including babies, young adults, middle-aged adults, and old adults, are used in the classification system. The process of the system is divided into three phases: location, feature extraction, and age classification. Based on the symmetry of human faces and the variation of gray levels, the positions of eyes, noses, and mouths could be located by applying the Sobel edge operator and region labeling. Two geometric features and three wrinkle features from a facial image are then obtained. Finally, two back-propagation neural networks are constructed for classification. The first one employs the geometric features to distinguish whether the facial image is a baby. If it is not, then the second network uses the wrinkle features to classify the image into one of three adult groups. The proposed system is experimented with 230 facial images on a Pentium II 350 processor with 128 MB RAM. One half of the images are used for training and the other half for test. It takes 0.235 second to classify an image on an average. The identification rate achieves 90.52% for the training images and 81.58% for the test images, which is roughly close to human’s subjective justification.
關鍵字 Age Classification;Facial Feature Extraction;Neural Network
語言 英文
ISSN 1560-6686
期刊性質 國內
收錄於
產學合作
通訊作者
審稿制度
國別 中華民國
公開徵稿
出版型式 ,電子版