Face Detection Using Cascade Cassifier with 7 Layers Based on the Humans Images

Authors

  • Jyoti Singh Jadon M. Tech CSE, Maharana Pratap College of Technology, Gwalior (Madhya Pradesh), India
  • Dheerendra Singh Tomar Dept. of CSE, Pratap College of Technology, Gwalior (Madhya Pradesh), India

DOI:

https://doi.org/10.53555/nncse.v2i2.505

Keywords:

Age Classification, Aging, Face Support Vector Machine, SVM

Abstract

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.

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Published

2015-02-28

How to Cite

Jadon, J. S., & Tomar, D. S. (2015). Face Detection Using Cascade Cassifier with 7 Layers Based on the Humans Images. Journal of Advance Research in Computer Science & Engineering (ISSN 2456-3552), 2(2), 01-09. https://doi.org/10.53555/nncse.v2i2.505