Post Sender Recognition using SIFT

SIFT를 이용한 우편영상의 송신자 인식

  • 김영원 (한국전자통신연구원 지능형우편연구팀) ;
  • 장승익 (한국전자통신연구원 지능형우편연구팀) ;
  • 이성준 (한국전자통신연구원 지능형우편연구팀)
  • Received : 2010.09.01
  • Accepted : 2010.11.16
  • Published : 2010.11.28


Previous post sender recognition study was focused on recognizing the address of receiver. Relatively, there was lack of study to recognize the information of sender's address. Post sender recognition study is necessary for the service and application using sender information such as returning. This paper did the experiment and suggested how to recognize post sender using SIFT. Although SIFT shows great recognition rate, SIFT had problems with time and mis-recognition. One is increased time to match keypoints in proportion as the number of registered model. The other is mis-recognition of many similar keypoints even though they are all different models due to the nature of post sender. To solve the problem, this paper suggested SIFT adding distance function and did the experiment to compare time and function. In addition, it is suggested how to register and classify models automatically without the manual process of registering models.


Post Sender;Post Sender Recognition;Post Sender Classification


Grant : 실시간 우편물류 운영기술 개발


  1. 우정사업본부, “한국우정백서 (2001-2007)”, 2007(11).
  2. K. John, “Postal Automated Redirection System”, USPS, 2009(5).
  3. G. L. David, "Object Recognition from Local Scale-Invariant Features", International Conference on Computer Vision, pp.1150-1157, 1999(9).
  4. G. L. David, “Distinctive Image Features from Scale-Invariant Keypoints”, International Journal of Computer Vision, Vol.60, No.2, pp.91-110, 2004.