Intelligent gender recognition system for classification of gender in Malaysian demographic

Intelligent gender recognition is the ability in identify whether a person is a male or female based on the past experiences by the features of face such as eyes, mouth, cheek that makes the significant contribution to the appearance. Detecting human gender is difficult but important for some purpos...

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Main Authors:	Su Chi, Yap, Syafiq Fauzi, Kamarulzaman
Format:	Conference or Workshop Item
Language:	English English
Published:	Universiti Malaysia Pahang 2019
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/25998/ http://umpir.ump.edu.my/id/eprint/25998/ http://umpir.ump.edu.my/id/eprint/25998/1/14.%20Intelligent%20gender%20recognition%20system%20for%20classification.pdf http://umpir.ump.edu.my/id/eprint/25998/3/14.1%20Intelligent%20gender%20recognition%20system%20for%20classification.pdf

id	ump-25998
recordtype	eprints
spelling	ump-259982019-12-17T03:37:30Z http://umpir.ump.edu.my/id/eprint/25998/ Intelligent gender recognition system for classification of gender in Malaysian demographic Su Chi, Yap Syafiq Fauzi, Kamarulzaman TK Electrical engineering. Electronics Nuclear engineering Intelligent gender recognition is the ability in identify whether a person is a male or female based on the past experiences by the features of face such as eyes, mouth, cheek that makes the significant contribution to the appearance. Detecting human gender is difficult but important for some purposes, especially where safety issues related to female gender in public amenities is concerned. There were criminal cases that happened around the world concerning female gender in the public bathroom. The objectives of this research is to identify the techniques for classifying the different face features of male and female, embed as a system and validify using photos within Malaysian demographic. The scope of the project is focused on the face features for gender classification in real time, utilizing deep learning based gender recognition and HAAR Cascade classifier using pre-trained caffe model in OpenCV library to detect the gender. Universiti Malaysia Pahang 2019 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/25998/1/14.%20Intelligent%20gender%20recognition%20system%20for%20classification.pdf pdf en http://umpir.ump.edu.my/id/eprint/25998/3/14.1%20Intelligent%20gender%20recognition%20system%20for%20classification.pdf Su Chi, Yap and Syafiq Fauzi, Kamarulzaman (2019) Intelligent gender recognition system for classification of gender in Malaysian demographic. In: 5th International Conference on Electrical, Control and Computer Engineering (INECCE 2019), 29-30 July 2019 , Swiss Garden Kuantan. pp. 1-12.. (Unpublished) DOI: https://doi.org/10.15282/JCEIB-V5-02.29/3/2019/5.5
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English English
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering Su Chi, Yap Syafiq Fauzi, Kamarulzaman Intelligent gender recognition system for classification of gender in Malaysian demographic
description	Intelligent gender recognition is the ability in identify whether a person is a male or female based on the past experiences by the features of face such as eyes, mouth, cheek that makes the significant contribution to the appearance. Detecting human gender is difficult but important for some purposes, especially where safety issues related to female gender in public amenities is concerned. There were criminal cases that happened around the world concerning female gender in the public bathroom. The objectives of this research is to identify the techniques for classifying the different face features of male and female, embed as a system and validify using photos within Malaysian demographic. The scope of the project is focused on the face features for gender classification in real time, utilizing deep learning based gender recognition and HAAR Cascade classifier using pre-trained caffe model in OpenCV library to detect the gender.
format	Conference or Workshop Item
author	Su Chi, Yap Syafiq Fauzi, Kamarulzaman
author_facet	Su Chi, Yap Syafiq Fauzi, Kamarulzaman
author_sort	Su Chi, Yap
title	Intelligent gender recognition system for classification of gender in Malaysian demographic
title_short	Intelligent gender recognition system for classification of gender in Malaysian demographic
title_full	Intelligent gender recognition system for classification of gender in Malaysian demographic
title_fullStr	Intelligent gender recognition system for classification of gender in Malaysian demographic
title_full_unstemmed	Intelligent gender recognition system for classification of gender in Malaysian demographic
title_sort	intelligent gender recognition system for classification of gender in malaysian demographic
publisher	Universiti Malaysia Pahang
publishDate	2019
url	http://umpir.ump.edu.my/id/eprint/25998/ http://umpir.ump.edu.my/id/eprint/25998/ http://umpir.ump.edu.my/id/eprint/25998/1/14.%20Intelligent%20gender%20recognition%20system%20for%20classification.pdf http://umpir.ump.edu.my/id/eprint/25998/3/14.1%20Intelligent%20gender%20recognition%20system%20for%20classification.pdf
first_indexed	2023-09-18T22:40:12Z
last_indexed	2023-09-18T22:40:12Z
_version_	1777416864221102080

Intelligent gender recognition system for classification of gender in Malaysian demographic

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