한국컴퓨터정보학회논문지 (Journal of the Korea Society of Computer and Information)

  • 제20권8호
  • /
  • Pages.15-21
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  • 2015
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  • 1598-849X(pISSN)
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  • 2383-9945(eISSN)
한국컴퓨터정보학회 (Korean Society of Computer Information)
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Sasang Constitution Classification System by Morphological Feature Extraction of Facial Images

  • Lee, Hye-Lim (Dept. of IT Convergence Engineering, Gachon University) ;
  • Cho, Jin-Soo (Dept. of IT Convergence Engineering, Gachon University)
  • 투고 : 2015.06.03
  • 심사 : 2015.07.23
  • 발행 : 2015.08.31
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초록

This study proposed a Sasang constitution classification system that can increase the objectivity and reliability of Sasang constitution diagnosis using the image of frontal face, in order to solve problems in the subjective classification of Sasang constitution based on Sasang constitution specialists' experiences. For classification, characteristics indicating the shapes of the eyes, nose, mouth and chin were defined, and such characteristics were extracted using the morphological statistic analysis of face images. Then, Sasang constitution was classified through a SVM (Support Vector Machine) classifier using the extracted characteristics as its input, and according to the results of experiment, the proposed system showed a correct recognition rate of 93.33%. Different from existing systems that designate characteristic points directly, this system showed a high correct recognition rate and therefore it is expected to be useful as a more objective Sasang constitution classification system.

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참고문헌

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