International Journal of Applied Research on Information Technology and Computing
  • Year: 2016
  • Volume: 7
  • Issue: 2

SVM Classifier for Human Gender Classification

  • Author:
  • Sayantani Ghosh1,, Samir Kumar Bandyopadhyay2,
  • Total Page Count: 6
  • Published Online: Aug 1, 2016
  • Page Number: 100 to 105

1Assistant Professor, Professor Department of Computer Science and Engineering, University of Calcutta, Kolkata, West Bengal, India

2Professor Department of Computer Science and Engineering, University of Calcutta, Kolkata, West Bengal, India

*(*Corresponding author) Email id: sayantani.mailme@gmail.com

**1954samir@gmail.com

Abstract

Support vector machine (SVM) is a supervised learning model that has its own learning algorithms to analyse data to perform data classification and regression. In this paper, SVM basic kernel functions are employed to detect and classify the human gender.

Keywords

Machine Learning, Artificial Neural Network, Supervised learning, classifier