Vision-based verification of authentic JAKIM halal logo
In Malaysia, the authenticity of halal logo has been a great concern to its Muslim community due to the existence of different types of halal logo in the market. Due to this situation, in this paper, a detection system was developed to classify the authentic Jabatan Kemajuan Islam Malaysia (JAKIM) h...
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iium-480092017-09-26T10:17:23Z http://irep.iium.edu.my/48009/ Vision-based verification of authentic JAKIM halal logo Razali, Sumirah Isa, Nurul Htike@Muhammad Yusof, Zaw Zaw Nyein Naing, Wai Yan T Technology (General) In Malaysia, the authenticity of halal logo has been a great concern to its Muslim community due to the existence of different types of halal logo in the market. Due to this situation, in this paper, a detection system was developed to classify the authentic Jabatan Kemajuan Islam Malaysia (JAKIM) halal logo from the unauthentic ones. All the distinct features from the authentic logo were used in the implementation part of this project with the intention of producing a reliable detection system. The methods that are chosen to be used are SURF, SIFT, GIST, and k-means. These methods can be said is reliable and practical as the resulted accuracy which was 86.6667 was quite high. 2015 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/48009/1/127.pdf application/pdf en http://irep.iium.edu.my/48009/4/48009_Vision-based%20verification%20of%20authentic_Scopus.pdf application/pdf en http://irep.iium.edu.my/48009/5/48009_Vision-based%20verification%20of%20authentic.pdf Razali, Sumirah and Isa, Nurul and Htike@Muhammad Yusof, Zaw Zaw and Nyein Naing, Wai Yan (2015) Vision-based verification of authentic JAKIM halal logo. In: International Postgraduate Conference on Engineering Research (IPCER) 2015, 27-28 Oct 2015, Gombak. http://www.iium.edu.my/ipcer/15/ |
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T Technology (General) Razali, Sumirah Isa, Nurul Htike@Muhammad Yusof, Zaw Zaw Nyein Naing, Wai Yan Vision-based verification of authentic JAKIM halal logo |
description |
In Malaysia, the authenticity of halal logo has been a great concern to its Muslim community due to the existence of different types of halal logo in the market. Due to this situation, in this paper, a detection system was developed to classify the authentic Jabatan Kemajuan Islam Malaysia (JAKIM) halal logo from the unauthentic ones. All the distinct features from the authentic logo were used in the implementation part of this project with the intention of producing a reliable detection system. The methods that are chosen to be used are SURF, SIFT, GIST, and k-means. These methods can be said is reliable and practical as the resulted accuracy which was 86.6667 was quite high. |
format |
Conference or Workshop Item |
author |
Razali, Sumirah Isa, Nurul Htike@Muhammad Yusof, Zaw Zaw Nyein Naing, Wai Yan |
author_facet |
Razali, Sumirah Isa, Nurul Htike@Muhammad Yusof, Zaw Zaw Nyein Naing, Wai Yan |
author_sort |
Razali, Sumirah |
title |
Vision-based verification of authentic JAKIM halal logo |
title_short |
Vision-based verification of authentic JAKIM halal logo |
title_full |
Vision-based verification of authentic JAKIM halal logo |
title_fullStr |
Vision-based verification of authentic JAKIM halal logo |
title_full_unstemmed |
Vision-based verification of authentic JAKIM halal logo |
title_sort |
vision-based verification of authentic jakim halal logo |
publishDate |
2015 |
url |
http://irep.iium.edu.my/48009/ http://irep.iium.edu.my/48009/ http://irep.iium.edu.my/48009/1/127.pdf http://irep.iium.edu.my/48009/4/48009_Vision-based%20verification%20of%20authentic_Scopus.pdf http://irep.iium.edu.my/48009/5/48009_Vision-based%20verification%20of%20authentic.pdf |
first_indexed |
2023-09-18T21:08:13Z |
last_indexed |
2023-09-18T21:08:13Z |
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1777411076957143040 |