A Deep Neural Network on Object Recognition Framework for Submerged Fish Images

  • Sushma PulidindiEmail author
  • K. Kamakshaiah
  • Sagar Yeruva
Conference paper
Part of the Lecture Notes on Data Engineering and Communications Technologies book series (LNDECT, volume 37)


Nowadays, recognition of objects such as fishes has drawn more attention while submerged pictures are showing some difficulty due to their poor picture quality which also includes rough background surfaces when compared to general images. Medicines prepared from fishes help in curing different diseases to reduce the health issues in the present world (for example, rheumatism problems, gel for wounds, bandages, etc). In our proposed method we are projecting a deep neural network that supports recognition of fishes to acquire their count, species and medical usage.


Fish species identification Autoencoder Deep neural network 


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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • Sushma Pulidindi
    • 1
    Email author
  • K. Kamakshaiah
    • 2
  • Sagar Yeruva
    • 2
  1. 1.Software EngineeringVNR VJIETSecunderabadIndia
  2. 2.Department of CSEVNR VJIETSecunderabadIndia

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