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

Jang Yoon Kim; Michael Vogl; Shin Dug Kim

doi:10.1109/ICITCS.2014.7021706

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

Jang Yoon Kim, Michael Vogl, Shin Dug Kim

College of Computing

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

9 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 language	English
Title of host publication	2014 International Conference on IT Convergence and Security, ICITCS 2014
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781479965410
DOIs	https://doi.org/10.1109/ICITCS.2014.7021706
Publication status	Published - 2014 Jan 23
Event	4th 2014 International Conference on IT Convergence and Security, ICITCS 2014 - Beijing, China Duration: 2014 Oct 28 → 2014 Oct 30

Publication series

Name	2014 International Conference on IT Convergence and Security, ICITCS 2014

Other

Other	4th 2014 International Conference on IT Convergence and Security, ICITCS 2014
Country/Territory	China
City	Beijing
Period	14/10/28 → 14/10/30

Bibliographical note

Publisher Copyright:
© 2014 IEEE.

All Science Journal Classification (ASJC) codes

Computer Networks and Communications

Access to Document

10.1109/ICITCS.2014.7021706

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 Article 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

@inproceedings{0a5611604af54ba9b8056059d53bba25,

title = "A code based fruit recognition method via image convertion using multiple features",

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.",

author = "Kim, {Jang Yoon} and Michael Vogl and Kim, {Shin Dug}",

note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 4th 2014 International Conference on IT Convergence and Security, ICITCS 2014 ; Conference date: 28-10-2014 Through 30-10-2014",

year = "2014",

month = jan,

day = "23",

doi = "10.1109/ICITCS.2014.7021706",

language = "English",

series = "2014 International Conference on IT Convergence and Security, ICITCS 2014",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2014 International Conference on IT Convergence and Security, ICITCS 2014",

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}

Kim, JY, Vogl, M & Kim, SD 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 proceeding › Conference contribution

TY - GEN

T1 - A code based fruit recognition method via image convertion using multiple features

AU - Kim, Jang Yoon

AU - Vogl, Michael

AU - Kim, Shin Dug

PY - 2014/1/23

Y1 - 2014/1/23

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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M3 - Conference contribution

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T3 - 2014 International Conference on IT Convergence and Security, ICITCS 2014

BT - 2014 International Conference on IT Convergence and Security, ICITCS 2014

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 4th 2014 International Conference on IT Convergence and Security, ICITCS 2014

Y2 - 28 October 2014 through 30 October 2014

ER -

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

Abstract

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