Recognition of Different Bird Category Using Image Processing

Authors

  • Bipin Kumar Rai ABES Institute of Technology, Ghaziabad 201009, Uttar Pradesh, India https://orcid.org/0000-0002-9834-8093
  • Shivani Sharma ABES Institute of Technology, Ghaziabad 201009, Uttar Pradesh, India https://orcid.org/0000-0003-3381-269X
  • Gautam Kumar CMR Institute of technology, Hyderabad, India-501401
  • Kaushal Kishor ABES Institute of Technology, Ghaziabad 201009, Uttar Pradesh, India

DOI:

https://doi.org/10.3991/ijoe.v18i07.29639

Keywords:

Machine learning, deep learning, bird species recognition, image processing

Abstract


People like to do bird watching but to identify bird species they need help of Zoological Science. Bird watching gives health benefits which we get by enjoying nature. Species identification is a challenging task which may result in many different labels. Sometimes even experts may disagree on species. It is both difficult of humans and computers that hit the limit of visual abilities. Hence, to help the bird spectator, we have developed deep learning based algorithms using the concept of image processing that help in identifying bird species. It will recognize the input image by comparing the model with a trained model and then predict the bird species. All the details of the bird will be displayed as an output. Also, it will help us to create dataset if any image captured or uploaded by user is missing in dataset then user can add that image to dataset.

Covr iJOE Vol. 18 No. 07 (2022)

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Published

2022-06-14

How to Cite

Rai, B. K., Sharma, S., Kumar, G., & Kishor, K. (2022). Recognition of Different Bird Category Using Image Processing. International Journal of Online and Biomedical Engineering (iJOE), 18(07), pp. 101–114. https://doi.org/10.3991/ijoe.v18i07.29639

Issue

Vol. 18 No. 07 (2022)

Section

Papers

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Copyright (c) 2022 Bipin Kumar Rai, Shivani sharma, Gautam Kumar, Kaushal Kishor

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