Vision inspection system for halal chicken authentication

Vision inspection system is a rapid, economic, consistent and objective inspection technique. This project focuses on the process to authenticate whether the slaughtered chickens images are halal and slaughtered correctly according to syariah law or not based on the slaughtered chicken images by usi...

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Main Author: Mohammad Kasai, Mohammad Fitri Alif
Format: Thesis
Language:English
Published: 2013
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Online Access:http://eprints.utm.my/id/eprint/39748/5/MohammadFitriAlifMFKE2013.pdf
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spelling my-utm-ep.397482017-07-17T04:20:25Z Vision inspection system for halal chicken authentication 2013-06 Mohammad Kasai, Mohammad Fitri Alif TK Electrical engineering. Electronics Nuclear engineering Vision inspection system is a rapid, economic, consistent and objective inspection technique. This project focuses on the process to authenticate whether the slaughtered chickens images are halal and slaughtered correctly according to syariah law or not based on the slaughtered chicken images by using image processing methods and neural network. The captured images first undergo pre processing such as cropping, background subtraction process and erosion method. The pre processed images are then segmented using method such as component connected labeling method to detect the circularity of esophagus and trachea. Feature extraction is used to extract important information from the processed images and the features used in this project are circularity and the average value of red, green and blue (RGB) colours. Probabilistic neural network is used to classify the features of the image and compared with the trained feature to authenticate the halal status of the image. Time taken for authenticate slaughtered chicken image is fast and its accuracy is also reasonable. 2013-06 Thesis http://eprints.utm.my/id/eprint/39748/ http://eprints.utm.my/id/eprint/39748/5/MohammadFitriAlifMFKE2013.pdf application/pdf en public masters Universiti Teknologi Malaysia, Faculty of Electrical Engineering Faculty of Electrical Engineering
institution Universiti Teknologi Malaysia
collection UTM Institutional Repository
language English
topic TK Electrical engineering
Electronics Nuclear engineering
spellingShingle TK Electrical engineering
Electronics Nuclear engineering
Mohammad Kasai, Mohammad Fitri Alif
Vision inspection system for halal chicken authentication
description Vision inspection system is a rapid, economic, consistent and objective inspection technique. This project focuses on the process to authenticate whether the slaughtered chickens images are halal and slaughtered correctly according to syariah law or not based on the slaughtered chicken images by using image processing methods and neural network. The captured images first undergo pre processing such as cropping, background subtraction process and erosion method. The pre processed images are then segmented using method such as component connected labeling method to detect the circularity of esophagus and trachea. Feature extraction is used to extract important information from the processed images and the features used in this project are circularity and the average value of red, green and blue (RGB) colours. Probabilistic neural network is used to classify the features of the image and compared with the trained feature to authenticate the halal status of the image. Time taken for authenticate slaughtered chicken image is fast and its accuracy is also reasonable.
format Thesis
qualification_level Master's degree
author Mohammad Kasai, Mohammad Fitri Alif
author_facet Mohammad Kasai, Mohammad Fitri Alif
author_sort Mohammad Kasai, Mohammad Fitri Alif
title Vision inspection system for halal chicken authentication
title_short Vision inspection system for halal chicken authentication
title_full Vision inspection system for halal chicken authentication
title_fullStr Vision inspection system for halal chicken authentication
title_full_unstemmed Vision inspection system for halal chicken authentication
title_sort vision inspection system for halal chicken authentication
granting_institution Universiti Teknologi Malaysia, Faculty of Electrical Engineering
granting_department Faculty of Electrical Engineering
publishDate 2013
url http://eprints.utm.my/id/eprint/39748/5/MohammadFitriAlifMFKE2013.pdf
_version_ 1747816547074703360