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Eye Detection using Composite Cross-Correlation form Face Images in Varied Illumination

Facial feature detection is essential process in the field of face recognition. Template match based approach is widely used to implement the issue of facial detection. However, many obstructions adversely affect in template based implementation such as varied illumination, size, face pose and...

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Main Authors: Mohd Nordin, Abdul Rahman, Mohd Rizon, Mohamed Juhari, Kutiba, Nanaa
Format: Conference or Workshop Item
Language:English
Published: 2014
Subjects:
QA75 Electronic computers. Computer science
T Technology (General)
Online Access:http://eprints.unisza.edu.my/562/1/FH03-FIK-14-00397.pdf
http://eprints.unisza.edu.my/562/
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id my-unisza-ir.562
record_format eprints
spelling my-unisza-ir.5622020-10-25T04:33:31Z http://eprints.unisza.edu.my/562/ Eye Detection using Composite Cross-Correlation form Face Images in Varied Illumination Mohd Nordin, Abdul Rahman Mohd Rizon, Mohamed Juhari Kutiba, Nanaa QA75 Electronic computers. Computer science T Technology (General) Facial feature detection is essential process in the field of face recognition. Template match based approach is widely used to implement the issue of facial detection. However, many obstructions adversely affect in template based implementation such as varied illumination, size, face pose and the status of eye in either open case or close case. the objective of this paper is to detect left eye and overcome the obstruction of low illumination in given image using composite cross-correlation. Two single templates form the proposed composite template. First single template is created from an eye image in ordinary illumination while the second single template is created from an eye image in low illumination. The experimental results is concluded by applying our templates on the PICS Database whose varied illumination images and show that applying composite templates gives a better result than applying the both single templates individually. 2014 Conference or Workshop Item NonPeerReviewed text en http://eprints.unisza.edu.my/562/1/FH03-FIK-14-00397.pdf Mohd Nordin, Abdul Rahman and Mohd Rizon, Mohamed Juhari and Kutiba, Nanaa (2014) Eye Detection using Composite Cross-Correlation form Face Images in Varied Illumination. In: International Conference on Artificial Life and Robotics, 11-13 January 2014, OITA, JAPAN.
institution Universiti Sultan Zainal Abidin
building UNISZA Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Sultan Zainal Abidin
content_source UNISZA Institutional Repository
url_provider https://eprints.unisza.edu.my/
language English
topic QA75 Electronic computers. Computer science
T Technology (General)
spellingShingle QA75 Electronic computers. Computer science
T Technology (General)
Mohd Nordin, Abdul Rahman
Mohd Rizon, Mohamed Juhari
Kutiba, Nanaa
Eye Detection using Composite Cross-Correlation form Face Images in Varied Illumination
description Facial feature detection is essential process in the field of face recognition. Template match based approach is widely used to implement the issue of facial detection. However, many obstructions adversely affect in template based implementation such as varied illumination, size, face pose and the status of eye in either open case or close case. the objective of this paper is to detect left eye and overcome the obstruction of low illumination in given image using composite cross-correlation. Two single templates form the proposed composite template. First single template is created from an eye image in ordinary illumination while the second single template is created from an eye image in low illumination. The experimental results is concluded by applying our templates on the PICS Database whose varied illumination images and show that applying composite templates gives a better result than applying the both single templates individually.
format Conference or Workshop Item
author Mohd Nordin, Abdul Rahman
Mohd Rizon, Mohamed Juhari
Kutiba, Nanaa
author_facet Mohd Nordin, Abdul Rahman
Mohd Rizon, Mohamed Juhari
Kutiba, Nanaa
author_sort Mohd Nordin, Abdul Rahman
title Eye Detection using Composite Cross-Correlation form Face Images in Varied Illumination
title_short Eye Detection using Composite Cross-Correlation form Face Images in Varied Illumination
title_full Eye Detection using Composite Cross-Correlation form Face Images in Varied Illumination
title_fullStr Eye Detection using Composite Cross-Correlation form Face Images in Varied Illumination
title_full_unstemmed Eye Detection using Composite Cross-Correlation form Face Images in Varied Illumination
title_sort eye detection using composite cross-correlation form face images in varied illumination
publishDate 2014
url http://eprints.unisza.edu.my/562/1/FH03-FIK-14-00397.pdf
http://eprints.unisza.edu.my/562/
_version_ 1683234897313923072
score 13.211869

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