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International Journal of Scientific & Technology Research

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IJSTR >> Volume 8 - Issue 9, September 2019 Edition



International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616



Cattle Identification Using LBP Descriptor And SVM Classifier

[Full Text]

 

AUTHOR(S)

Supriya Rajankar, Rahul Mankar, Omprakash Rajankar

 

KEYWORDS

Histogram of Gradients, CNN, Muzzle, Local binary pattern descriptor (LBP).

 

ABSTRACT

In order to implement positive cattle identification delectability, the paper proposes a new model dependent on the histogram of Gradients (HOG) and Convolutional Neural Networks (CNN). Training algorithm was applied separately on a number of normalized gray faces of cattle images. Due to lighting variation sparse and low-rank disintegration was explained for alignment as well as misalignment, occlusion of the test image. The proposed work is an invariant biometric based cattle recognition based on cattle muzzle photo. It exploits texture feature extraction considering minimum distance and Support Vector Machine (SVM). The proposed work aims to achieve best accuracy.

 

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