Automatic fruits identification system using hybrid technique

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.

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Abstract

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.

Item Type:	Conference or Workshop Item (Full Paper)
Additional Information:	6472/1762
Uncontrolled Keywords:	Artificial Neural Network (ANN), Fruits Images, Fourier Descriptors, Shape
Subjects:	S Agriculture > S Agriculture (General)
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering > Department of Mechatronics Engineering
Depositing User:	Dr Abiodun Musa Aibinu
Date Deposited:	09 Sep 2011 09:35
Last Modified:	05 Jan 2012 08:34
URI:	http://irep.iium.edu.my/id/eprint/1762

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