Korean Journal of Computational Design and Engineering (한국CDE학회논문집)

Society for Computational Design and Engineering (한국CDE학회)
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Neural Network-Based Human Identification Using Teeth Contours

치아 윤곽선 정보를 이용한 신경회로망 기반 신원 확인 방안

  • Park, Sang-Jin (Department of Industrial Engineering, Chosun University) ;
  • Park, Hyungjun (Department of Industrial Engineering, Chosun University)
  • Received : 2013.03.24
  • Accepted : 2013.05.08
  • Published : 2013.08.01
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Abstract

This paper proposes a method for human identification using teeth contours extracted from dental images that are captured from the frontal views of subjects each of who opens his or her mouth slightly. Each dental image has a black-colored region containing the subject's teeth contours which are usually different from subject to subject. This means that this black-colored region has bio-mimetic information useful for human identification. The basic idea of the method is to extract the upper and lower teeth contours from the dental image of each subject and to encode their geometric patterns using a back-propagation neural network model. After acquiring 400 teeth images form 10 university students, we used 300 images for the training data of the neural network model and 100 images for its verification. Experimental results have shown that the proposed neural network-based method can be used as an alternative solution for identification among a small group of humans with a low cost and simple setup.

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References

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