A fruit recognition method via image conversion optimized through evolution strategy

Michael Vogl, Jang Yoon Kim, Shin Dug Kim

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

    8 Citations (Scopus)

    Abstract

    This research is to propose a fast and highly accurate object recognition method especially for fruit recognition applications to be used in a mobile environment. Conventional techniques are based on one or more of the basic features that characterize an object: color, shape, texture and intensity, causing performance or accuracy limitations in a mobile environment. Thus, this paper presents a combined approach that transforms basic features into their associated code fields to generate an object code that could be used as a search key in a feature database. Parameters used in the experiment have been optimized by using Evolution Strategies and an increase in accuracy by up to 10% has been achieved. A fruit database consisting of 36 different classes of fruits and 1108 fruit images overall has been used to obtain the experimental results. The results show an average accuracy of more than 98% and performance increase compared to different approaches on fruit image recognition.

    Original languageEnglish
    Title of host publicationProceedings - 17th IEEE International Conference on Computational Science and Engineering, CSE 2014, Jointly with 13th IEEE International Conference on Ubiquitous Computing and Communications, IUCC 2014, 13th International Symposium on Pervasive Systems, Algorithms, and Networks, I-SPAN 2014 and 8th International Conference on Frontier of Computer Science and Technology, FCST 2014
    EditorsXingang Liu, Didier El Baz, Ching-Hsien Hsu, Kai Kang, Weifeng Chen
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages1497-1502
    Number of pages6
    ISBN (Electronic)9781479979813
    DOIs
    Publication statusPublished - 2015 Jan 26
    Event17th IEEE International Conference on Computational Science and Engineering, CSE 2014 - Jointly with 13th IEEE International Conference on Ubiquitous Computing and Communications, IUCC 2014, 13th International Symposium on Pervasive Systems, Algorithms, and Networks, I-SPAN 2014 and 8th International Conference on Frontier of Computer Science and Technology, FCST 2014 - Chengdu, China
    Duration: 2014 Dec 192014 Dec 21

    Publication series

    NameProceedings - 17th IEEE International Conference on Computational Science and Engineering, CSE 2014, Jointly with 13th IEEE International Conference on Ubiquitous Computing and Communications, IUCC 2014, 13th International Symposium on Pervasive Systems, Algorithms, and Networks, I-SPAN 2014 and 8th International Conference on Frontier of Computer Science and Technology, FCST 2014

    Other

    Other17th IEEE International Conference on Computational Science and Engineering, CSE 2014 - Jointly with 13th IEEE International Conference on Ubiquitous Computing and Communications, IUCC 2014, 13th International Symposium on Pervasive Systems, Algorithms, and Networks, I-SPAN 2014 and 8th International Conference on Frontier of Computer Science and Technology, FCST 2014
    Country/TerritoryChina
    CityChengdu
    Period14/12/1914/12/21

    All Science Journal Classification (ASJC) codes

    • General Computer Science
    • Electrical and Electronic Engineering
    • Control and Systems Engineering
    • Industrial and Manufacturing Engineering

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