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Eye Closure and Open Detection Using Adaptive Thresholding Histogram Enhancement (ATHE) Technique and Connected Components Utilisation

Mat Ibrahim, Masrullizam and Awang Md Isa, Azmi and Darsono, Abdul Majid (2014) Eye Closure and Open Detection Using Adaptive Thresholding Histogram Enhancement (ATHE) Technique and Connected Components Utilisation. In: Intelligent and Advanced Systems (ICIAS), 2014 5th International Conference, 3-5 June 2014 , KLCC Kuala Lumpur.

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Abstract

Eye closure detection is an important operation prior to carry out the main algorithm such as iris recognition algorithms, and eye tracking algorithms. This paper introduces a method to detect eye closure using Adaptive Thresholding Histogram Enhancement (ATHE) technique and connected component utilisation. The ATHE technique is a combination of histogram enhancement and estimation threshold technique. Firstly, in this proposed method the eye region is required to be localised. The ATHE technique enhances the eye region image then and yield the threshold value to segment the iris region. Based on the segmentation result, the connected components of binary image are used to classify the state of eye whether open or close. This classification is based on the shape and size of segmented region. The performance of the proposed technique is tested and validated by using UBIRIS, MMU and CASIA iris image database.

Item Type: Conference or Workshop Item (Paper)
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Electronics and Computer Engineering > Department of Computer Engineering
Depositing User: Dr. Masrullizam Mat Ibrahim
Date Deposited: 28 Jan 2015 03:05
Last Modified: 28 May 2015 04:35
URI: http://eprints.utem.edu.my/id/eprint/14024

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