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Face Detection Using Cascade Cassifier with 7 Layers Based on the Humans Images
Author(s) -
Jyoti Singh Jadon,
Dheerendra Singh Tomar
Publication year - 2015
Publication title -
journal of advance research in computer science and enigneering
Language(s) - English
Resource type - Journals
ISSN - 2456-3552
DOI - 10.53555/nncse.v2i2.505
Subject(s) - generalization , artificial intelligence , face (sociological concept) , support vector machine , computer science , pattern recognition (psychology) , machine learning , face detection , variety (cybernetics) , facial recognition system , series (stratigraphy) , mathematics , biology , mathematical analysis , social science , paleontology , sociology
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.