A multi-color based features from facial images for automatic ethnicity identification model

Ethnicity identification for demographic information has been studied for soft biometric analysis, and it is essential for human identification and verification. Ethnicity identification remains popular and receives attention in a recent year especially in automatic demographic information. Unfortun...

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Main Authors:	Mohd Zamri, Osman, Mohd Aizaini, Maarof, Mohd Foad, Rohani, Nilam Nur Amir, Sjarif, Nor Saradatul Akmar, Zulkifli
Format:	Conference or Workshop Item
Language:	English English
Published:	Universiti Malaysia Pahang 2019
Subjects:	QA76 Computer software
Online Access:	http://umpir.ump.edu.my/id/eprint/26466/ http://umpir.ump.edu.my/id/eprint/26466/1/51.%20A%20multi-color%20based%20features%20from%20facial%20images.pdf http://umpir.ump.edu.my/id/eprint/26466/2/51.1%20A%20multi-color%20based%20features%20from%20facial%20images.pdf

id	ump-26466
recordtype	eprints
spelling	ump-264662019-12-23T04:30:55Z http://umpir.ump.edu.my/id/eprint/26466/ A multi-color based features from facial images for automatic ethnicity identification model Mohd Zamri, Osman Mohd Aizaini, Maarof Mohd Foad, Rohani Nilam Nur Amir, Sjarif Nor Saradatul Akmar, Zulkifli QA76 Computer software Ethnicity identification for demographic information has been studied for soft biometric analysis, and it is essential for human identification and verification. Ethnicity identification remains popular and receives attention in a recent year especially in automatic demographic information. Unfortunately, ethnicity identification technique using color-based feature mostly failed to determine the ethnicity classes accurately due to low properties of features in color-based. Thus, this paper purposely analyses the accuracy of the color-based ethnicity identification model from various color spaces. The proposed model involved several phases such as skin color feature extraction, feature selection, and classification. In the feature extraction process, a dynamic skin color detection is adapted to extract the skin color information from the face candidate. The multi-color feature was formed from the descriptive statistical model. Feature selection technique applied to reduce the feature space dimensionality. Finally, the proposed ethnicity identification was tested using several classification algorithms. From the experimental result, we achieved a better result in multi-color feature compared to individual color space model under Random Forest algorithm. Universiti Malaysia Pahang 2019 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/26466/1/51.%20A%20multi-color%20based%20features%20from%20facial%20images.pdf pdf en http://umpir.ump.edu.my/id/eprint/26466/2/51.1%20A%20multi-color%20based%20features%20from%20facial%20images.pdf Mohd Zamri, Osman and Mohd Aizaini, Maarof and Mohd Foad, Rohani and Nilam Nur Amir, Sjarif and Nor Saradatul Akmar, Zulkifli (2019) A multi-color based features from facial images for automatic ethnicity identification model. In: International Conference on Electrical and Electronic Engineering (ICON3E2019), 24-25 June 2019 , Putrajaya, Malaysia. pp. 1-8.. (Unpublished)
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English English
topic	QA76 Computer software
spellingShingle	QA76 Computer software Mohd Zamri, Osman Mohd Aizaini, Maarof Mohd Foad, Rohani Nilam Nur Amir, Sjarif Nor Saradatul Akmar, Zulkifli A multi-color based features from facial images for automatic ethnicity identification model
description	Ethnicity identification for demographic information has been studied for soft biometric analysis, and it is essential for human identification and verification. Ethnicity identification remains popular and receives attention in a recent year especially in automatic demographic information. Unfortunately, ethnicity identification technique using color-based feature mostly failed to determine the ethnicity classes accurately due to low properties of features in color-based. Thus, this paper purposely analyses the accuracy of the color-based ethnicity identification model from various color spaces. The proposed model involved several phases such as skin color feature extraction, feature selection, and classification. In the feature extraction process, a dynamic skin color detection is adapted to extract the skin color information from the face candidate. The multi-color feature was formed from the descriptive statistical model. Feature selection technique applied to reduce the feature space dimensionality. Finally, the proposed ethnicity identification was tested using several classification algorithms. From the experimental result, we achieved a better result in multi-color feature compared to individual color space model under Random Forest algorithm.
format	Conference or Workshop Item
author	Mohd Zamri, Osman Mohd Aizaini, Maarof Mohd Foad, Rohani Nilam Nur Amir, Sjarif Nor Saradatul Akmar, Zulkifli
author_facet	Mohd Zamri, Osman Mohd Aizaini, Maarof Mohd Foad, Rohani Nilam Nur Amir, Sjarif Nor Saradatul Akmar, Zulkifli
author_sort	Mohd Zamri, Osman
title	A multi-color based features from facial images for automatic ethnicity identification model
title_short	A multi-color based features from facial images for automatic ethnicity identification model
title_full	A multi-color based features from facial images for automatic ethnicity identification model
title_fullStr	A multi-color based features from facial images for automatic ethnicity identification model
title_full_unstemmed	A multi-color based features from facial images for automatic ethnicity identification model
title_sort	multi-color based features from facial images for automatic ethnicity identification model
publisher	Universiti Malaysia Pahang
publishDate	2019
url	http://umpir.ump.edu.my/id/eprint/26466/ http://umpir.ump.edu.my/id/eprint/26466/1/51.%20A%20multi-color%20based%20features%20from%20facial%20images.pdf http://umpir.ump.edu.my/id/eprint/26466/2/51.1%20A%20multi-color%20based%20features%20from%20facial%20images.pdf
first_indexed	2023-09-18T22:41:14Z
last_indexed	2023-09-18T22:41:14Z
_version_	1777416929212891136

A multi-color based features from facial images for automatic ethnicity identification model

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