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

Authors(1) :-Dr. Rajesh A

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.

Authors and Affiliations

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

Gender Recognition, WLD, Face Granulation.

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Publication Details

Published in : Volume 4 | Issue 1 | January-February 2018
Date of Publication : 2018-02-28
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 551-555
Manuscript Number : IJSRSET184192
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

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.
Journal URL : http://ijsrset.com/IJSRSET184192

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