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
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Online Access: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
http://umpir.ump.edu.my/id/eprint/26466/
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spelling my.ump.umpir.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)
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
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/26466/1/51.%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
http://umpir.ump.edu.my/id/eprint/26466/
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score 13.211869