NDLI: Muzzle point pattern based techniques for individual cattle identification

Content Provider	IET Digital Library
Author	Kumar, Santosh Singh, Sanjay Kumar Singh, Amit Kumar
Abstract	Animal biometrics based recognition systems are gradually gaining more proliferation due to their diversity of application and uses. The recognition system is applied for representation, recognition of generic visual features, and classification of different species based on their phenotype appearances, the morphological image pattern, and biometric characteristics. The muzzle point image pattern is a primary animal biometric characteristic for the recognition of individual cattle. It is similar to the identification of minutiae points in human fingerprints. This study presents an automatic recognition algorithm of muzzle point image pattern of cattle for the identification of individual cattle, verification of false insurance claims, registration, and traceability process. The proposed recognition algorithm uses the texture feature descriptors, such as speeded up robust features and local binary pattern for the extraction of features from the muzzle point images at different smoothed levels of Gaussian pyramid. The feature descriptors acquired at each Gaussian smoothed level are combined using fusion weighted sum-rule method. With a muzzle point image pattern database of 500 cattle, the proposed algorithm yields the desired level of 93.87% identification accuracy. The comparative analysis of experimental results for proposed work and appearance-based face recognition algorithms has been done at each level.
Starting Page	805
Ending Page	814
Page Count	10
ISSN	17519659
Volume Number	11
e-ISSN	17519667
Issue Number	Issue 10, Oct (2017)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/11/10
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2016.0799
Journal	IET Image Processing
Publisher Date	2017-01-05
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Animal Biometrics Based Recognition System Automatic Recognition Algorithm Biomimetics Cattle Identification Computer Vision And Image Processing Technique Face Recognition Face Recognition Algorithm False Insurance Verification Feature Extraction Fusion Weighted Sum-rule Method Gaussian Processes Gaussian Pyramid Level Gaussian Smoothed Level Generic Visual Feature Recognition Generic Visual Feature Representation Image Fusion Image Recognition Image Registration Morphological Image Pattern Muzzle Point Pattern Based Technique Species Classification Statistics
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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