International Journal of Advanced and Applied Sciences
Int. j. adv. appl. sci.
EISSN: 2313-3724
Print ISSN: 2313-626X
Volume 4, Issue 7 (July 2017), Pages: 90-94
Title: Brief review on gender classification techniques
Author(s): Muhammad Humair Noor 1, Sajid Ali Khan 1, 2, *, Anmol Haider 1, Ahmed Faraz 1, Osama Khan 1, Arsalan Aamir 1, Nazish Noor 3
Affiliation(s):
1Department of Software Engineering, Foundation University, Rawalpindi, Pakistan
2Department of Computer Science, Shaheed Zulfikar Ali Bhutto Institute of Science and Technology, Islamabad, Pakistan
3Harvest American, Inc. New York, USA
https://doi.org/10.21833/ijaas.2017.07.013
Abstract:
We carried a study of comparison for the gender classification methods for finding their pros and cons. The main primary contributions are comparable and comprehensive results for the classification of gender methods and combined with real-time automatic detection of face. Our research is focus on highlighting the limitations and strengths of different gender classification techniques by taking an overview of some major problems. Several areas of future research have been presented in this paper.
© 2017 The Authors. Published by IASE.
This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
Keywords: Gender classification, Feature selection, Feature extraction
Article History: Received 6 February 2017, Received in revised form 21 April 2017, Accepted 18 May 2017
Digital Object Identifier:
https://doi.org/10.21833/ijaas.2017.07.013
Citation:
Noor MH, Khan SA, Haider A, Faraz A, Khan O, Aamir A, and Noor N (2017). Brief review on gender classification techniques. International Journal of Advanced and Applied Sciences, 4(7): 90-94
http://www.science-gate.com/IJAAS/V4I7/Noor.html
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