International Journal of Applied Research on Information Technology and Computing
  • Year: 2017
  • Volume: 8
  • Issue: 1

Support Vector Machine Classifier for Human Gender Identification

  • Author:
  • Sayantani Ghosh1, Samir Kumar Bandyopadhyay2,
  • Total Page Count: 19
  • Published Online: Apr 1, 2017
  • Page Number: 11 to 29

1Ph.D. Scholar, Department of Computer Science and Engineering, University of Calcutta, Kolkata, India

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

*Corresponding author email id: 1954samir@gmail.com

Abstract

In this paper, support vector machine basic kernel functions are used to detect and classify the human gender[9]. These functions read as input the feature(s) of human facial image(s). The proposed algorithm is then isolated each human facial image part and their all possible combinations. Finally, it classifies gender using kernel function.

Keywords

Kernel, Cross validation, Histogram equalisation, Machine learning, Support vector machine, Multiclass, Kernel