Fruit classification using Viola-Jones detectors
In agriculture, the use of machine vision technology has been increasing throughout the years. The machine vision technology is highly essential in the process of fruit harvesting in order to increase the production rate and decrease the cost incurred by hiring human workers. Fruit detection and cla...
| Main Authors: | , , , , |
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| Format: | Proceeding Paper |
| Language: | English |
| Published: |
2014
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/38050/ http://irep.iium.edu.my/38050/1/Fruit_classification.pdf |
| _version_ | 1848781528361861120 |
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| author | Saeed S, Almehmadi Tarig Moussa Hassan, Tariq Zeyad Htike@Muhammad Yusof, Zaw Zaw Nyein Naing, Wai Yan Khan, Sheroz |
| author_facet | Saeed S, Almehmadi Tarig Moussa Hassan, Tariq Zeyad Htike@Muhammad Yusof, Zaw Zaw Nyein Naing, Wai Yan Khan, Sheroz |
| author_sort | Saeed S, Almehmadi Tarig |
| building | IIUM Repository |
| collection | Online Access |
| description | In agriculture, the use of machine vision technology has been increasing throughout the years. The machine vision technology is highly essential in the process of fruit harvesting in order to increase the production rate and decrease the cost incurred by hiring human workers. Fruit detection and classification have been a challenging issue for machine vision researchers. Several fruit detection techniques using color-based and shape-based features have been developed by researchers. However, because the same type of fruits can have different colors and shapes, existing methods have produced low accuracy rates. This paper proposes a novel fruit classification system based on Haar-like features in conjunction with multiple Viola-Jones detectors. Experiments have been performed on two types of fruits: apple and pineapple. Satisfactory experimental results encourage us to extend the proposed framework on a variety of other fruits. |
| first_indexed | 2025-11-14T15:51:00Z |
| format | Proceeding Paper |
| id | iium-38050 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T15:51:00Z |
| publishDate | 2014 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | iium-380502018-06-19T06:53:28Z http://irep.iium.edu.my/38050/ Fruit classification using Viola-Jones detectors Saeed S, Almehmadi Tarig Moussa Hassan, Tariq Zeyad Htike@Muhammad Yusof, Zaw Zaw Nyein Naing, Wai Yan Khan, Sheroz T Technology (General) In agriculture, the use of machine vision technology has been increasing throughout the years. The machine vision technology is highly essential in the process of fruit harvesting in order to increase the production rate and decrease the cost incurred by hiring human workers. Fruit detection and classification have been a challenging issue for machine vision researchers. Several fruit detection techniques using color-based and shape-based features have been developed by researchers. However, because the same type of fruits can have different colors and shapes, existing methods have produced low accuracy rates. This paper proposes a novel fruit classification system based on Haar-like features in conjunction with multiple Viola-Jones detectors. Experiments have been performed on two types of fruits: apple and pineapple. Satisfactory experimental results encourage us to extend the proposed framework on a variety of other fruits. 2014-06-30 Proceeding Paper NonPeerReviewed application/pdf en http://irep.iium.edu.my/38050/1/Fruit_classification.pdf Saeed S, Almehmadi Tarig and Moussa Hassan, Tariq Zeyad and Htike@Muhammad Yusof, Zaw Zaw and Nyein Naing, Wai Yan and Khan, Sheroz (2014) Fruit classification using Viola-Jones detectors. In: International Conference on Mathematical Applications in Engineering (ICMAE’14), 23-25 September 2014, Kuala Lumpur. (In Press) http://www.iium.edu.my/icmae/14/?page_id=505 |
| spellingShingle | T Technology (General) Saeed S, Almehmadi Tarig Moussa Hassan, Tariq Zeyad Htike@Muhammad Yusof, Zaw Zaw Nyein Naing, Wai Yan Khan, Sheroz Fruit classification using Viola-Jones detectors |
| title | Fruit classification using Viola-Jones detectors |
| title_full | Fruit classification using Viola-Jones detectors |
| title_fullStr | Fruit classification using Viola-Jones detectors |
| title_full_unstemmed | Fruit classification using Viola-Jones detectors |
| title_short | Fruit classification using Viola-Jones detectors |
| title_sort | fruit classification using viola-jones detectors |
| topic | T Technology (General) |
| url | http://irep.iium.edu.my/38050/ http://irep.iium.edu.my/38050/ http://irep.iium.edu.my/38050/1/Fruit_classification.pdf |