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Cattle identification with muzzle pattern using computer vision technology: a critical review and prospective

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Abstract

Cattle identification is required for any type of record system to calving records or performance records, and it has many applications in various fields such as livestock management, insurance claims in banks, health department, and veterinary department. This article presents a systematic review of cattle identification techniques based on current vision technology. This article also assesses the techniques and tools based on their experimental evaluation. Different databases have been scrutinized to evaluate the performance of techniques used to identify the cattle, and the system’s performance achieved in terms of recognition accuracy through the various techniques is summarized in this article. All the potential advantages of cattle identification systems have been tried to explore in this article. Also, the authors identified the need to develop an efficient technique for cattle identification system. This article also directs toward future research in this very respective field. Research in this area is marginal, and still more research is required to be undertaken, particularly in the case of cattle identification based on muzzle points.

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The authors declared that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

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Authors and Affiliations

  1. Department of Computer Science and Applications, Guru Nanak College, Sri Muktsar Sahib, Punjab, India

    Amanpreet Kaur

  2. Department of Computational Sciences, Maharaja Ranjit Singh Punjab Technical University, Bathinda, Punjab, India

    Munish Kumar

  3. Department of Computer Science and Applications, Panjab University Regional Centre, Sri Muktsar Sahib, Punjab, India

    M. K. Jindal

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  1. Amanpreet Kaur
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  2. Munish Kumar
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  3. M. K. Jindal
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Correspondence to Munish Kumar.

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Kaur, A., Kumar, M. & Jindal, M.K. Cattle identification with muzzle pattern using computer vision technology: a critical review and prospective. Soft Comput 26, 4771–4795 (2022). https://doi.org/10.1007/s00500-022-06935-x

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