Breaking Out of the Black Box in Automated Flower Recognition

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

    11 Downloads (Pure)

    Abstract

    Currently, fully automated methods for plant recognition are being developed. These systems work based on images. But, they only give the name of the plants as a result and do not give an explanation (black box approach). On the contrary, giving the explanation (by describing the plant's characteristics) formally is used by taxonomists before they can determine the plant's name. Providing the explanation is very important since it fit in the standard practice and as a basis of plant identification for several decades. This paper comes with the new perspective in automated image-based plant recognition. A system that acts not as a black box system has proposed. It can mimic the taxonomist in explaining the decision and giving useful alternatives. The research firstly focuses on the flower. In the first part of this paper, the background of the new perspective is presented. Then, some problems that we want to answer also will be shown. Finally, some solutions to achieve the goal are discussed. As the first attempts, we also conduct a little experiment using the decision tree to deal with the goal.
    Original languageEnglish
    Title of host publicationProceedings of the 2018 Symposium on Information Theory and Signal Processing in the Benelux
    Subtitle of host publicationMay 31-1 June, 2018, University of Twente, Enschede, The Netherlands
    EditorsLuuk Spreeuwers, Jasper Goseling
    Place of PublicationEnschede
    PublisherWerkgemeenschap voor Informatie- en Communicatietheorie (WIC)
    Pages28-34
    Number of pages7
    ISBN (Print)978-90-365-4570-9
    Publication statusPublished - 2018
    Event39th Symposium on Information Theory and Signal Processing in the Benelux 2018 - University of Twente, Enschede, Netherlands
    Duration: 31 May 20181 Jun 2018
    Conference number: 39
    https://www.utwente.nl/en/eemcs/sitb2018/

    Conference

    Conference39th Symposium on Information Theory and Signal Processing in the Benelux 2018
    Abbreviated titleSITB
    CountryNetherlands
    CityEnschede
    Period31/05/181/06/18
    Internet address

      Fingerprint

    Cite this

    Apriyanti, D. H., Spreeuwers, L. J., & Veldhuis, R. N. J. (2018). Breaking Out of the Black Box in Automated Flower Recognition. In L. Spreeuwers, & J. Goseling (Eds.), Proceedings of the 2018 Symposium on Information Theory and Signal Processing in the Benelux: May 31-1 June, 2018, University of Twente, Enschede, The Netherlands (pp. 28-34). Enschede: Werkgemeenschap voor Informatie- en Communicatietheorie (WIC).