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

Parthasarathi De   and Dibyendu Ghoshal

doi:10.17485/ijst/2016/v9i42/96165

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

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Indian Journal of Science and Technology

DOI: 10.17485/ijst/2016/v9i42/96165

Year: 2016, Volume: 9, Issue: 42, Pages: 1-5

Original Article

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

Parthasarathi De^1* and Dibyendu Ghoshal²

¹Department of CSE, National Institute of Technology Agartala, Agartala - 799046, Tripura, India; [email protected] ²Department of EIE, National Institute of Technology Agartala, Agartala - 799046, Tripura, India

*Author for correspondence
Parthasarathi De Department of CSE, National Institute of Technology Agartala, Agartala - 799046, Tripura, India; [email protected]

This work is licensed under a Creative Commons Attribution 4.0 International License.

Abstract

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.

Keywords: Circular Hough Transform, Discrete Wavelet Transform, Feature Extraction, Histogram