Predicting the Characteristics of a Human from Facial Features by Using SURF

Authors

  • Nagaral MU Dept. of Computer Science and Engineering, BLDEA’s V. P. Dr. P. G. Halakatti College of Engineering and Technology, Vijayapur-586103, Karnataka, India, Visvesvaraya Technological University, Belagavi
  • Reddy TH Dept. of Computer Science and Engineering, R. Y. M. E. C. Engineering College, Bellary, India, Visvesvaraya Technological University, Belagavi

DOI:

https://doi.org/10.26438/ijcse/v6i9.916

Keywords:

Speed-Up Robust Features, Interest point, Character recognition

Abstract

In the modern society everybody wants to be familiar with people’s characteristics to predict and be aware of their reaction to diverse situation, though it’s hard to understand psychological nature and characteristics of a person. For this reason, researches have been carried out in this direction to predict the characteristics of a person such as maturity, warmth, intelligence, sociality, dominance, as well as the trustworthiness. Here aim is to identify person’s characteristics based on the facial features by using techniques such as SURF, which is going to be used for the extraction of the facial features and Knearest neighbor classifier for identification of the characteristics of the human being. With the various features mentioned and by using the appropriate techniques, the characteristics of a person can be predicted. The overall performance of the proposed work has been estimated by well established dataset and results show that the proposed work has performed well.

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Published

2018-09-30
CITATION
DOI: 10.26438/ijcse/v6i9.916
Published: 2018-09-30

How to Cite

[1]
M. U. Nagaral and T. H. Reddy, “Predicting the Characteristics of a Human from Facial Features by Using SURF”, Int. J. Comp. Sci. Eng., vol. 6, no. 9, pp. 9–16, Sep. 2018.

Issue

Vol. 6 No. 9 (2018): IJCSE September Editor

Section

Research Article

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