Gender Recognition from Face Image Based on Textural Analysis and Machine Learning Approach

Authors

  • Dr. Rajesh A  CVR College of Engineering, Ibrahimpatnam, Hyderabad, Telangana, India

Keywords:

Gender Recognition, WLD, Face Granulation.

Abstract

In different biometric applications, sexual orientation acknowledgment from facial pictures assumes an imperative part. In this paper, we research Weber's Local Descriptor (WLD) for sexual orientation acknowledgment. WLD is a surface descriptor that performs superior to anything other comparative descriptors yet it is all encompassing because of its extremely development. From WLD we will acquire the critical properties of face pictures. Here an approach for building up a programmed framework to characterize sexual orientation from a facial picture utilizing Neural Network Classifier is displayed. The huge highlights are permitted to sustain as contribution to the neural system. The tests are performed on given database and the exactness of the framework is processed for the database.

References

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International Journal of Scientific Research in Science, Engineering and Technology

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Published

2018-02-28

Issue

Volume 4, Issue 1, January-February-2018

Section

Research Articles

License

Copyright (c) IJSRSET

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Dr. Rajesh A, " Gender Recognition from Face Image Based on Textural Analysis and Machine Learning Approach, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 4, Issue 1, pp.551-555, January-February-2018.