A Portable Cattle Tagging Based on Muzzle Pattern

Authors

  • Indrabayu Indrabayu Universitas Hasanuddin
  • Ingrid Nurtanio Universitas Hasanuddin
  • Intan Sari Areni Universitas Hasanuddin
  • Sri R.A Bugiwati Universitas Hasanuddin
  • Anugrayani Bustamin Universitas Hasanuddin
  • Muhammad Rahmatullah Universitas Hasanuddin

DOI:

https://doi.org/10.3991/ijim.v14i13.13237

Keywords:

cattle identification, SIFT, RANSAC, muzzle pattern

Abstract


This research focuses on developing an Android-based cattle identification system that is applicable and easy to use. This system uses a Scale Invariant Feature Transform (SIFT) algorithm to extract features from the muzzle images, and Random Sample Consensus (RANSAC) algorithm to eliminate features incompatibility. The system is experimented with four threshold values, i.e. 10, 15, 20, and 30 using a total data of 460 muzzle images.  In the first experiment, 3 images from each individual are used in the training stage and 2 images are used as the data test. In the second experiment, 5 images from each cattle are used in the training stage and 5 images are used as the data test. Data used in training stage are 244 images and in testing stage is 816 images. From the experiment, the highest accuracy rate is 98.1% with threshold values of 15 and 20. The execution time is also calculated to measure the processing time of the system. The average time taken to store an image to the database is 1.3 seconds. The main contribution of this research is technology implementation and more portable muzzle identification for local cattle in Makassar.

Author Biographies

Indrabayu Indrabayu, Universitas Hasanuddin

Department of Informatics

Ingrid Nurtanio, Universitas Hasanuddin

Department of Informatics

Intan Sari Areni, Universitas Hasanuddin

Department of Electrical Engineering

Sri R.A Bugiwati, Universitas Hasanuddin

Department of Animal Production

Anugrayani Bustamin, Universitas Hasanuddin

Department of Informatics

Muhammad Rahmatullah, Universitas Hasanuddin

Department of Informatics

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Published

2020-08-14

How to Cite

Indrabayu, I., Nurtanio, I., Areni, I. S., Bugiwati, S. R., Bustamin, A., & Rahmatullah, M. (2020). A Portable Cattle Tagging Based on Muzzle Pattern. International Journal of Interactive Mobile Technologies (iJIM), 14(13), pp. 134–149. https://doi.org/10.3991/ijim.v14i13.13237

Issue

Vol. 14 No. 13 (2020)

Section

Papers

License

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