Abstract
Animal identification is necessary for records, registration, and proof of ownership. The owner of few Black Bengal Goats can identify his goats by sight but it will create a problem for a larger number of goats as they are looking almost similar. A number of identification tools have been used for Black Bengal Goats like ear tag, tattoo, branding, RFID, etc. The Tattoos are permanent identification marking but inconvenient to read after a few months or years. Most of the farmers and breeders have used ear tags, which contain a number for identification of particular goat but may be lost at the time of grazing. Some organized farmers have placed RFID chips in tags but RFID reader is necessary to read the content of chips. In this paper, an effort has been made to identify individual Black Bengal Goat using their iris image like a human. The eye images have been captured preprocessed, enhanced, and irises have been segmented. The template has been generated from each segmented iris and stored in the database. The matching has been performed among different segmented iris images from the same goat and also been performed among iris images captured from different goats. It has been observed that the average Hamming distance among iris images captured at different times from the same goat are different from the average hamming distances among iris images from other goats. Finally, the matching threshold has been decided for the identification of Black Bengal Goat.
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Acknowledgements
The authors would like to thank ITRA-Digital India Corporation (formerly known as Media Lab Asia), Ref. No.: ITRA/15(188)/Ag&Food/ImageIDGP/01 dated 09/11/2016 for funding this research work. The authors would also like to thank Dr. A. Bandopadhyay, Senior consultant, ITRA Ag&Food, Dr. Binay Singh, Scientist, ICAR-RC for NEH region, Tripura Center, Agartala, Pritam Ghosh, M.Tech (second year), Subhranil Mustafi, M.Tech (second Year), and Kunal Roy ( JRF, DHESTBT project) Kalyani Government Engineering College, Kalyani, Nadia for helping us to implement this research work.
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Roy, S. et al. (2021). Black Bengal Goat Identification Using Iris Images. In: Bhattacharjee, D., Kole, D.K., Dey, N., Basu, S., Plewczynski, D. (eds) Proceedings of International Conference on Frontiers in Computing and Systems. Advances in Intelligent Systems and Computing, vol 1255. Springer, Singapore. https://doi.org/10.1007/978-981-15-7834-2_20
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DOI: https://doi.org/10.1007/978-981-15-7834-2_20
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