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...

Full description

Bibliographic Details
Main Authors: Su Chi, Yap, Syafiq Fauzi, Kamarulzaman
Format: Conference or Workshop Item
Language:English
English
Published: Universiti Malaysia Pahang 2019
Subjects:
Online Access: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
_version_ 1848822420167720960
author Su Chi, Yap
Syafiq Fauzi, Kamarulzaman
author_facet Su Chi, Yap
Syafiq Fauzi, Kamarulzaman
author_sort Su Chi, Yap
building UMP Institutional Repository
collection Online Access
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.
first_indexed 2025-11-15T02:40:57Z
format Conference or Workshop Item
id ump-25998
institution Universiti Malaysia Pahang
institution_category Local University
language English
English
last_indexed 2025-11-15T02:40:57Z
publishDate 2019
publisher Universiti Malaysia Pahang
recordtype eprints
repository_type Digital Repository
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) (Unpublished) DOI: https://doi.org/10.15282/JCEIB-V5-02.29/3/2019/5.5
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Su Chi, Yap
Syafiq Fauzi, Kamarulzaman
Intelligent gender recognition system for classification of gender in Malaysian demographic
title 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_short Intelligent gender recognition system for classification of gender in Malaysian demographic
title_sort intelligent gender recognition system for classification of gender in malaysian demographic
topic TK Electrical engineering. Electronics Nuclear engineering
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