Automatic fruits identification system using hybrid technique

In this work, a combination of artificial neural network (ANN), Fourier descriptors (FD) and spatial domain analysis (SDA) has been proposed for the development of an automatic fruits identification and sorting system. Fruits images are captured using digital camera inclined at different angles to...

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Main Authors: Aibinu, Abiodun Musa, Salami, Momoh Jimoh Emiyoka, Shafie, Amir Akramin, Hazali, Norazlanshah, Termidzi, N.
Format: Conference or Workshop Item
Language:English
Published: 2011
Subjects:
Online Access:http://irep.iium.edu.my/1762/
http://irep.iium.edu.my/1762/
http://irep.iium.edu.my/1762/1/Automatic_Fruits_Identification_System_Using_Hybrid_Technique.pdf
id iium-1762
recordtype eprints
spelling iium-17622012-01-05T00:34:27Z http://irep.iium.edu.my/1762/ Automatic fruits identification system using hybrid technique Aibinu, Abiodun Musa Salami, Momoh Jimoh Emiyoka Shafie, Amir Akramin Hazali, Norazlanshah Termidzi, N. S Agriculture (General) In this work, a combination of artificial neural network (ANN), Fourier descriptors (FD) and spatial domain analysis (SDA) has been proposed for the development of an automatic fruits identification and sorting system. Fruits images are captured using digital camera inclined at different angles to the horizontal. Segmentation is used for the classification of the preprocessed images into two non-overlapping clusters from which shape boundary and signatures are estimated using FD and SDA technique. Furthermore, color information obtained from the extracted red-green-blue color components of the fruits images during ANN training process is used in accurately detecting the color of such a fruit. The two independent paths are then combined for fruits sorting and identification purposes. The performance of the developed hybrid system has been evaluated at three different angles of camera inclination from which an accuracy of 99.1% was obtained. 2011 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/1762/1/Automatic_Fruits_Identification_System_Using_Hybrid_Technique.pdf Aibinu, Abiodun Musa and Salami, Momoh Jimoh Emiyoka and Shafie, Amir Akramin and Hazali, Norazlanshah and Termidzi, N. (2011) Automatic fruits identification system using hybrid technique. In: 2011 Sixth IEEE International Symposium on Electronic Design, Test and Application, 17-19 January 2011, Queenstown, New Zealand. http://ieeexplore.ieee.org/search/srchabstract.jsp?tp=&arnumber=5729570&queryText%3Daibinu%26openedRefinements%3D*%26filter%3DAND%28NOT%284283010803%29%29%26searchField%3DSearch+All
repository_type Digital Repository
institution_category Local University
institution International Islamic University Malaysia
building IIUM Repository
collection Online Access
language English
topic S Agriculture (General)
spellingShingle S Agriculture (General)
Aibinu, Abiodun Musa
Salami, Momoh Jimoh Emiyoka
Shafie, Amir Akramin
Hazali, Norazlanshah
Termidzi, N.
Automatic fruits identification system using hybrid technique
description In this work, a combination of artificial neural network (ANN), Fourier descriptors (FD) and spatial domain analysis (SDA) has been proposed for the development of an automatic fruits identification and sorting system. Fruits images are captured using digital camera inclined at different angles to the horizontal. Segmentation is used for the classification of the preprocessed images into two non-overlapping clusters from which shape boundary and signatures are estimated using FD and SDA technique. Furthermore, color information obtained from the extracted red-green-blue color components of the fruits images during ANN training process is used in accurately detecting the color of such a fruit. The two independent paths are then combined for fruits sorting and identification purposes. The performance of the developed hybrid system has been evaluated at three different angles of camera inclination from which an accuracy of 99.1% was obtained.
format Conference or Workshop Item
author Aibinu, Abiodun Musa
Salami, Momoh Jimoh Emiyoka
Shafie, Amir Akramin
Hazali, Norazlanshah
Termidzi, N.
author_facet Aibinu, Abiodun Musa
Salami, Momoh Jimoh Emiyoka
Shafie, Amir Akramin
Hazali, Norazlanshah
Termidzi, N.
author_sort Aibinu, Abiodun Musa
title Automatic fruits identification system using hybrid technique
title_short Automatic fruits identification system using hybrid technique
title_full Automatic fruits identification system using hybrid technique
title_fullStr Automatic fruits identification system using hybrid technique
title_full_unstemmed Automatic fruits identification system using hybrid technique
title_sort automatic fruits identification system using hybrid technique
publishDate 2011
url http://irep.iium.edu.my/1762/
http://irep.iium.edu.my/1762/
http://irep.iium.edu.my/1762/1/Automatic_Fruits_Identification_System_Using_Hybrid_Technique.pdf
first_indexed 2023-09-18T20:09:15Z
last_indexed 2023-09-18T20:09:15Z
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