Identifying Gender From Images of Faces
J.M.D.Zakir Hussain1, M.K.Mariam Bee2
1J.M.D. Zakir Hussain, Saveetha School of Engineering SIMATS, Chennai (Tamil Nadu), India.
2M.K. Mariam Bee, Saveetha School of Engineering SIMATS, Chennai, (Tamil Nadu), India.
Manuscript received on 15 August 2019 | Revised Manuscript received on 27 August 2019 | Manuscript Published on 06 September 2019 | PP: 278-281 | Volume-8 Issue- 6S, August 2019 | Retrieval Number: F10580886S19/19©BEIESP | DOI: 10.35940/ijeat.F1058.0886S19
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The objective of this project is to identify the gender of a person by looking at his/her photograph. This is a case of supervised learning where the algorithm is first trained on a set of female and male faces, and then used to classify new data. We have not taken genders other than Male and Female into account. A preliminary algorithm is run to make sure that an image is that of a human before classification begins.
Keywords: Images Faces Learning Classification Algorithm.
Scope of the Article: Image Security