Open Access   Article

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

Mahesh U Nagaral1 , T. Hanumantha Reddy2

Section:Research Paper, Product Type: Journal Paper
Volume-6 , Issue-9 , Page no. 9-16, Sep-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6i9.916

Online published on Sep 30, 2018

Copyright © Mahesh U Nagaral, T. Hanumantha Reddy . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Citation

IEEE Style Citation: Mahesh U Nagaral, T. Hanumantha Reddy, “Predicting the Characteristics of a Human from Facial Features by Using SURF”, International Journal of Computer Sciences and Engineering, Vol.6, Issue.9, pp.9-16, 2018.

MLA Style Citation: Mahesh U Nagaral, T. Hanumantha Reddy "Predicting the Characteristics of a Human from Facial Features by Using SURF." International Journal of Computer Sciences and Engineering 6.9 (2018): 9-16.

APA Style Citation: Mahesh U Nagaral, T. Hanumantha Reddy, (2018). Predicting the Characteristics of a Human from Facial Features by Using SURF. International Journal of Computer Sciences and Engineering, 6(9), 9-16.

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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 K-nearest 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.

Key-Words / Index Term

Speed-Up Robust Features, Interest points,Character recognition

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