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Iris Pattern Recognition of the Kingfisher Bird using Discrete Wavelet Transform and Feature Extraction from Histogram Orientation Gradient


  • Department of CSE, National Institute of Technology Agartala, Agartala - 799046, Tripura, India
  • Department of EIE, National Institute of Technology Agartala, Agartala - 799055, Tripura, India


Objectives: The present study has dealt with a new idea for recognizing the Iris pattern and their matching of the Kingfisher, a colorful bird. Methods/Statistical Analysis: The investigation has been made to detect, recognize and match the irises through a series of process. The work is centered about the improvement of the matrices concerned; rather than reducing the execution time of the program. For the present paper, MATLAB R2016a is used as the development tool. Findings: The proposed work is expected to give a recognition rate of 93% with a false rejected rate of 1.0. Application/Improvement: The results may be used for the census of Kingfisher birds and also towards wildlife preservation.


Circular Hough Transform, Discrete Wavelet Transform, Feature Extraction, Histogram.

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