Journal of IKEEE (전기전자학회논문지)

Institute of Korean Electrical and Electronics Engineers (한국전기전자학회)
권호 표지
DOI QR코드

DOI QR Code

Animal Administration System Using Nose-Print Recognition and Blockchain Network

비문 인식과 블록체인 네트워크를 사용한 동물 관리 시스템

  • Received : 2019.12.26
  • Accepted : 2019.12.30
  • Published : 2019.12.31
Download PDF
⟨ Previous Next ⟩

Abstract

Animal authentication, where an animal is identified as the preregistered specific one or not, is exploited various fields such as animal hospital, animal shop, animal shelter, and animal insurance. Nose-print is widely exploited to identify animal as fingerprint is exploited to identify human. This paper introduces an animal administration system, where it performs animal registration and authentication through nose-print recognition and it connects various clients through blockchain network.

동물이 미리 등록된 특정 개체인지 아닌지를 확인하는 동물 인증은 동물 병원, 동물 입양 센터, 동물 보호소, 동물 보험사 등 다양한 곳에서 사용된다. 사람을 확인하기 위해 지문 인식을 수행하듯 동물을 확인하기 위해서는 비문 인식이 널리 사용된다. 본 논문에서는 비문 인식을 통해 동물 등록 및 인증을 수행하고 이를 블록체인 네트워크를 통해 다양한 클라이언트와 연결해주는 동물 관리 시스템을 소개한다.

Keywords

References

  1. A. Awad, H. Zawbaa, H. Mahmoud, E. Nabi, R. Fayed, and A. Hassanien, "A Robust Cattle Identification Scheme Using Muzzle Print Images," Proceedings of Federated Conference on Computer Science and Information Systems, pp.529-534, 2013.
  2. D. Lowe, "Distinctive Image Features from Scale-Invariant Keypoints," International Journal of Computer Vision, vol.60, pp.91-110, 2004. DOI: 10.1023/B:VISI.0000029664.99615.94
  3. H. Bay, A. Ess, T. Tuytelaars, and L. Gool, "Speeded-Up Robust Features (SURF)," Computer Vision and Image Understanding, vol.110, pp. 346-359, 2008. DOI: 10.1016/j.cviu.2007.09.014
  4. E. Rosten and T. Drummond, "Machine Learning for High-Speed Corner Detection," Proceedings of European Conference on Computer Vision, pp.430-443, 2006. DOI: 10.1007/11744023_34
  5. H. Heo and K. Lee, "FPGA-Based Implementation of FAST and BRIEF algorithm for Object Recognition," j.inst.Korean.electr.electron.eng, vol.17, no.3, pp. 882-885, 2013. DOI: 10.7471/ikeee.2013.17.2.202
  6. H. Kim, S. Hong, and C. Hong, "A study on the Feature Local Descriptor for Recognition of Pet's Nose-Print," Proceedings of the Korean Institute of Information and Communication Sciences Conference, pp.556-557, 2018.
  7. G. Koch, "Siamese Neural Networks for Oneshot Image Recognition," Master Thesis, University of Toronto, 2015.