Eye Detection using Helmholtz Principle

Eye Detection is used in many applications like pattern recognition, biometric, surveillance system and many other systems. In this paper, a new method is presented to detect and extract the overall shape of one eye from image depending on two principles Helmholtz & Gestalt. According to the pri...

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Main Author: Ahmed et al.
Format: Article
Language:Arabic
Published: College of Science for Women, University of Baghdad 2019-12-01
Series:Baghdad Science Journal
Subjects:
Online Access:http://bsj.uobaghdad.edu.iq/index.php/BSJ/article/view/4610
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author Ahmed et al.
author_facet Ahmed et al.
author_sort Ahmed et al.
collection DOAJ
description Eye Detection is used in many applications like pattern recognition, biometric, surveillance system and many other systems. In this paper, a new method is presented to detect and extract the overall shape of one eye from image depending on two principles Helmholtz & Gestalt. According to the principle of perception by Helmholz, any observed geometric shape is perceptually "meaningful" if its repetition number is very small in image with random distribution. To achieve this goal, Gestalt Principle states that humans see things either through grouping its similar elements or recognize patterns. In general, according to Gestalt Principle, humans see things through general description of these things. This paper utilizes these two principles to recognize and extract eye part from image. Java programming language and OpenCV library for image processing are used for this purpose. Good results are obtained from this proposed method, where 88.89% was obtained as a detection rate taking into account that the average execution time is about 0.23 in seconds.
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spelling doaj.art-ed4e58fa93a34c629e8633f7dd549b2e2022-12-22T00:14:50ZaraCollege of Science for Women, University of BaghdadBaghdad Science Journal2078-86652411-79862019-12-01164(Suppl.)10.21123/bsj.2019.16.4(Suppl.).1087Eye Detection using Helmholtz PrincipleAhmed et al.Eye Detection is used in many applications like pattern recognition, biometric, surveillance system and many other systems. In this paper, a new method is presented to detect and extract the overall shape of one eye from image depending on two principles Helmholtz & Gestalt. According to the principle of perception by Helmholz, any observed geometric shape is perceptually "meaningful" if its repetition number is very small in image with random distribution. To achieve this goal, Gestalt Principle states that humans see things either through grouping its similar elements or recognize patterns. In general, according to Gestalt Principle, humans see things through general description of these things. This paper utilizes these two principles to recognize and extract eye part from image. Java programming language and OpenCV library for image processing are used for this purpose. Good results are obtained from this proposed method, where 88.89% was obtained as a detection rate taking into account that the average execution time is about 0.23 in seconds.http://bsj.uobaghdad.edu.iq/index.php/BSJ/article/view/4610Contour Extraction, Gestalt Theory, Helmholtz Principle, Skin Detection.
spellingShingle Ahmed et al.
Eye Detection using Helmholtz Principle
Baghdad Science Journal
Contour Extraction, Gestalt Theory, Helmholtz Principle, Skin Detection.
title Eye Detection using Helmholtz Principle
title_full Eye Detection using Helmholtz Principle
title_fullStr Eye Detection using Helmholtz Principle
title_full_unstemmed Eye Detection using Helmholtz Principle
title_short Eye Detection using Helmholtz Principle
title_sort eye detection using helmholtz principle
topic Contour Extraction, Gestalt Theory, Helmholtz Principle, Skin Detection.
url http://bsj.uobaghdad.edu.iq/index.php/BSJ/article/view/4610
work_keys_str_mv AT ahmedetal eyedetectionusinghelmholtzprinciple