• DocumentCode
    152725
  • Title

    Image analysis methods on fish recognition

  • Author

    Iscimen, Bilal ; Kutlu, Y. ; Reyhaniye, Asil Nadir ; Turan, C.

  • Author_Institution
    Bilgisayar Muhendisligi Bolumu, Mustafa Kemal Univ., Hatay, Turkey
  • fYear
    2014
  • fDate
    23-25 April 2014
  • Firstpage
    1411
  • Lastpage
    1414
  • Abstract
    The aim of study is creating a new database which contains fish species and classifying this fish species. A new fish database was created by using the fish photos in seas of Turkey. The new feature set are obtained by marking the biometric points on fish to identify family and species of fishes. The features were obtained by using the three different biometric measurement techniques (Euclidean network technique, quadratic network technique, triangulation technique). A classifications system was created by using Naive Bayesian classifier. The obtained accuracy is 93.10% for 7 families on family classification and 75.71% for 15 species on species classification.
  • Keywords
    biology computing; feature extraction; image classification; Euclidean network technique; Naive Bayesian classifier; Turkey; biometric measurement techniques; biometric points; classifications system; feature set; fish database; fish photos; fish recognition; fish species classification; image analysis methods; quadratic network technique; triangulation technique; Bayes methods; Conferences; Marine animals; Shape; Signal processing; Support vector machines; biometric mesurement techniques; fish recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Communications Applications Conference (SIU), 2014 22nd
  • Conference_Location
    Trabzon
  • Type

    conf

  • DOI
    10.1109/SIU.2014.6830503
  • Filename
    6830503