A code based fruit recognition method via image convertion using multiple features

Jang Yoon Kim, Michael Vogl, Shin-Dug Kim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

This research is to propose a fast and accurate object recognition method especially for fruit recognition to be used for mobile environment. Conventional techniques are based on one or more of basic features that characterize an object: color, shape, texture and intensity, causing performance limitation for mobile environment. Thus, this paper presents a combined approach that transforms those basic features into their associated code fields to generate an object code that could be used as a search key for the feature database. Experimental results have been collected using a fruit database consisting of 33 different classes of fruits and 1006 fruits overall. Thus, average accuracy of more than 90% is obtained and performance increases compared to other approaches on fruit image recognition.

Original languageEnglish
Title of host publication2014 International Conference on IT Convergence and Security, ICITCS 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479965410
DOIs
Publication statusPublished - 2014 Jan 23
Event4th 2014 International Conference on IT Convergence and Security, ICITCS 2014 - Beijing, China
Duration: 2014 Oct 282014 Oct 30

Publication series

Name2014 International Conference on IT Convergence and Security, ICITCS 2014

Other

Other4th 2014 International Conference on IT Convergence and Security, ICITCS 2014
CountryChina
CityBeijing
Period14/10/2814/10/30

Fingerprint

Fruits
Image recognition
Object recognition
Textures
Color

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications

Cite this

Kim, J. Y., Vogl, M., & Kim, S-D. (2014). A code based fruit recognition method via image convertion using multiple features. In 2014 International Conference on IT Convergence and Security, ICITCS 2014 [7021706] (2014 International Conference on IT Convergence and Security, ICITCS 2014). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICITCS.2014.7021706
Kim, Jang Yoon ; Vogl, Michael ; Kim, Shin-Dug. / A code based fruit recognition method via image convertion using multiple features. 2014 International Conference on IT Convergence and Security, ICITCS 2014. Institute of Electrical and Electronics Engineers Inc., 2014. (2014 International Conference on IT Convergence and Security, ICITCS 2014).
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abstract = "This research is to propose a fast and accurate object recognition method especially for fruit recognition to be used for mobile environment. Conventional techniques are based on one or more of basic features that characterize an object: color, shape, texture and intensity, causing performance limitation for mobile environment. Thus, this paper presents a combined approach that transforms those basic features into their associated code fields to generate an object code that could be used as a search key for the feature database. Experimental results have been collected using a fruit database consisting of 33 different classes of fruits and 1006 fruits overall. Thus, average accuracy of more than 90{\%} is obtained and performance increases compared to other approaches on fruit image recognition.",
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Kim, JY, Vogl, M & Kim, S-D 2014, A code based fruit recognition method via image convertion using multiple features. in 2014 International Conference on IT Convergence and Security, ICITCS 2014., 7021706, 2014 International Conference on IT Convergence and Security, ICITCS 2014, Institute of Electrical and Electronics Engineers Inc., 4th 2014 International Conference on IT Convergence and Security, ICITCS 2014, Beijing, China, 14/10/28. https://doi.org/10.1109/ICITCS.2014.7021706

A code based fruit recognition method via image convertion using multiple features. / Kim, Jang Yoon; Vogl, Michael; Kim, Shin-Dug.

2014 International Conference on IT Convergence and Security, ICITCS 2014. Institute of Electrical and Electronics Engineers Inc., 2014. 7021706 (2014 International Conference on IT Convergence and Security, ICITCS 2014).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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N2 - This research is to propose a fast and accurate object recognition method especially for fruit recognition to be used for mobile environment. Conventional techniques are based on one or more of basic features that characterize an object: color, shape, texture and intensity, causing performance limitation for mobile environment. Thus, this paper presents a combined approach that transforms those basic features into their associated code fields to generate an object code that could be used as a search key for the feature database. Experimental results have been collected using a fruit database consisting of 33 different classes of fruits and 1006 fruits overall. Thus, average accuracy of more than 90% is obtained and performance increases compared to other approaches on fruit image recognition.

AB - This research is to propose a fast and accurate object recognition method especially for fruit recognition to be used for mobile environment. Conventional techniques are based on one or more of basic features that characterize an object: color, shape, texture and intensity, causing performance limitation for mobile environment. Thus, this paper presents a combined approach that transforms those basic features into their associated code fields to generate an object code that could be used as a search key for the feature database. Experimental results have been collected using a fruit database consisting of 33 different classes of fruits and 1006 fruits overall. Thus, average accuracy of more than 90% is obtained and performance increases compared to other approaches on fruit image recognition.

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Kim JY, Vogl M, Kim S-D. A code based fruit recognition method via image convertion using multiple features. In 2014 International Conference on IT Convergence and Security, ICITCS 2014. Institute of Electrical and Electronics Engineers Inc. 2014. 7021706. (2014 International Conference on IT Convergence and Security, ICITCS 2014). https://doi.org/10.1109/ICITCS.2014.7021706