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A Gender Recognition System from Facial Image

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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2018
Authors:
Md. Nurul Ahad Tawhid, Emon Kumar Dey
10.5120/ijca2018915852

Md. Nurul Ahad Tawhid and Emon Kumar Dey. A Gender Recognition System from Facial Image. International Journal of Computer Applications 180(23):5-14, February 2018. BibTeX

@article{10.5120/ijca2018915852,
	author = {Md. Nurul Ahad Tawhid and Emon Kumar Dey},
	title = {A Gender Recognition System from Facial Image},
	journal = {International Journal of Computer Applications},
	issue_date = {February 2018},
	volume = {180},
	number = {23},
	month = {Feb},
	year = {2018},
	issn = {0975-8887},
	pages = {5-14},
	numpages = {10},
	url = {http://www.ijcaonline.org/archives/volume180/number23/29070-2018915852},
	doi = {10.5120/ijca2018915852},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}
}

Abstract

Automatic gender classification from facial image has become an attractive research area in the field of machine learning. Various methods have already been proposed for gender recognition in both controlled and uncontrolled situations. Problem arises in uncontrolled situation when there are high rate of noises, lack of illumination etc. To mitigate the problems, we have proposed a framework where we applied a pre-processing to enhance the images using Bilateral Histogram Equalization (BHEP) algorithm and applied the proposed framework in LFW, Adience and color FERET dataset yielding 94.29%, 84.86% and 98.30% accuracies. Confusion matrix, Precision, Recall, F-measure, True Positive Rate (TPR), True Negative Rate (TNR) etc. also shows that our proposed method performs better than the existing state of the arts.

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Keywords

Gender recognition, image enhancement, BHEP, image preprocessing, image enhancement, feature extraction