디지털콘텐츠학회 논문지 (Journal of Digital Contents Society)

  • 제19권1호
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  • Pages.205-212
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  • 2018
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  • 1598-2009(pISSN)
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  • 2287-738X(eISSN)
한국디지털콘텐츠학회 (Digital Contents Society)
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CNN 기반 서명인식에서 시간정보를 이용한 위조판별 성능 향상

Performance Improvement of Fake Discrimination using Time Information in CNN-based Signature Recognition

  • 최승호 (한성대학교 전자정보공학과) ;
  • 정성훈 (한성대학교 기계전자공학부)
  • Choi, Seouing-Ho (Department of Electronics and Information Engineering, Hansung University) ;
  • Jung, Sung Hoon (School of Mechanical and Electronic Engineering, Hansung University)
  • 투고 : 2017.12.20
  • 심사 : 2018.01.29
  • 발행 : 2018.01.31
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초록

본 논문에서는 CNN 기반 서명인식에서 시간 정보를 이용하여 위조판별을 보다 정확하게 하는 방법을 제안한다. 시간정보를 쉽게 이용하고 서명 작성속도에 영향을 받지 않기 위해 서명을 동영상으로 획득하고 서명 전체 시간을 동일한 개수의 등 간격으로 나누어 각 이미지를 얻은 후 이를 합성하여 서명 데이터를 만든다. 본 논문에서 제안한 합성 서명이미지를 이용한 방법과 기존에 마지막 서명 이미지만을 이용하는 방법을 비교하기 위하여 CNN 기반의 다양한 서명인식 방법을 실험하였다. 25명의 서명데이터로 실험한 결과 시간 정보를 이용하는 방법이 기존 방법에 비하여 모든 위조판별 실험에서 성능이 향상됨을 보았다.

In this paper, we propose a method for more accurate fake discrimination using time information in CNN-based signature recognition. To easily use the time information and not to be influenced by the speed of signature writing, we acquire the signature as a movie and divide the total time of the signature into equal numbers of equally spaced intervals to obtain each image and synthesize them to create signature data. In order to compare the method using the proposed signature image and the method using only the last signature image, various signature recognition methods based on CNN have been experimented in this paper. As a result of experiment with 25 signature data, we found that the method using time information improves performance in fake discrimination compared to the existing method at all experiments.

키워드

참고문헌

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