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...
| Main Authors: | , , , , |
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| Format: | Proceeding Paper |
| Language: | English |
| Published: |
2011
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/1762/ http://irep.iium.edu.my/1762/1/Automatic_Fruits_Identification_System_Using_Hybrid_Technique.pdf |
| _version_ | 1848775912635498496 |
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| 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 |
| building | IIUM Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-14T14:21:44Z |
| format | Proceeding Paper |
| id | iium-1762 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T14:21:44Z |
| publishDate | 2011 |
| recordtype | eprints |
| repository_type | Digital Repository |
| 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 Proceeding Paper 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 |
| 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 |
| title | 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_short | Automatic fruits identification system using hybrid technique |
| title_sort | automatic fruits identification system using hybrid technique |
| topic | S Agriculture (General) |
| 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 |