Support Vector Machine for age classification
نویسندگان
چکیده
Age of human can be inferred by distinct patterns emerging from the facial appearance. Humans can easily distinguish which person is elder and which is older between two persons. When inferring a person’s age, the comparison is done with his/her face and with many people whose ages are known, resulting in a series of comparative series, and then judgment is done based on the comparisons. The computer based age classification has become particularly prevalent topics recently. In this paper age classification is done by using Support Vector Machine technique. In variety of applications SVM has achieved excellent generalization performance. Keywords— age classification, aging, face, Support
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تاریخ انتشار 2012