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...

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Main Authors:	Saeed S, Almehmadi Tarig, Moussa Hassan, Tariq Zeyad, Htike@Muhammad Yusof, Zaw Zaw, Nyein Naing, Wai Yan, Khan, Sheroz
Format:	Conference or Workshop Item
Language:	English
Published:	2014
Subjects:	T Technology (General)
Online Access:	http://irep.iium.edu.my/38050/ http://irep.iium.edu.my/38050/ http://irep.iium.edu.my/38050/1/Fruit_classification.pdf

id	iium-38050
recordtype	eprints
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 Conference or Workshop Item 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
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	T Technology (General)
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
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.
format	Conference or Workshop Item
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
title	Fruit classification using Viola-Jones detectors
title_short	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_sort	fruit classification using viola-jones detectors
publishDate	2014
url	http://irep.iium.edu.my/38050/ http://irep.iium.edu.my/38050/ http://irep.iium.edu.my/38050/1/Fruit_classification.pdf
first_indexed	2023-09-18T20:54:36Z
last_indexed	2023-09-18T20:54:36Z
_version_	1777410220228608000

Fruit classification using Viola-Jones detectors

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