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Automated Classification of Fruits: Pawpaw Fruit as a Case Study

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Man-Machine Interactions 5 (ICMMI 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 659))

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Abstract

Several fruit recognition researches have been performed on so many fruits cutting across orange, banana, strawberry, apple, etc. But little or no consideration has been given to pawpaw. This might be due to its complex nature. Identification of ripe pawpaw from unripe species using colour-based feature extraction method and back propagation neural network (BPNN) model is a complex task since a green looking pawpaw could be ripped when analysed. In this paper, the ripeness of pawpaw was determined by a simple colour recognition algorithm using a BPNN model. RGB colour components of the captured images are extracted after the pawpaw images are resized. After the application of a simple heuristic method, the colour components of the resized images are rescaled. Finally, the rescaled images’ colour histogram is obtained and used as feature vector and the BPNN model uses the feature vector to classify the pawpaw species. The proposed model has an accuracy of 97\(\%\).

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Author information

Authors and Affiliations

  1. Electrical and Electronic Engineering Department, Near East University, Nicosia, North Cyprus, Turkey

    Kamil Dimililer

  2. Computer Engineering Department, Near East University, Nicosia, North Cyprus, Turkey

    Idoko John Bush

Authors
  1. Kamil Dimililer
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  2. Idoko John Bush
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Correspondence to Kamil Dimililer .

Editor information

Editors and Affiliations

  1. Institute of Informatics, Silesian University of Technology, Gliwice, Poland

    Aleksandra Gruca

  2. Institute of Informatics, Silesian University of Technology, Gliwice, Poland

    Tadeusz Czachórski

  3. Institute of Informatics, Silesian University of Technology, Gliwice, Poland

    Katarzyna Harezlak

  4. Institute of Informatics, Silesian University of Technology, Gliwice, Poland

    Stanisław Kozielski

  5. Institute of Informatics, Silesian University of Technology, Gliwice, Poland

    Agnieszka Piotrowska

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Dimililer, K., Bush, I.J. (2018). Automated Classification of Fruits: Pawpaw Fruit as a Case Study. In: Gruca, A., Czachórski, T., Harezlak, K., Kozielski, S., Piotrowska, A. (eds) Man-Machine Interactions 5. ICMMI 2017. Advances in Intelligent Systems and Computing, vol 659. Springer, Cham. https://doi.org/10.1007/978-3-319-67792-7_36

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  • DOI: https://doi.org/10.1007/978-3-319-67792-7_36

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-67791-0

  • Online ISBN: 978-3-319-67792-7

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