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

CNN 기반 서명인식에서 시간정보를 이용한 위조판별 성능 향상

  • Received : 2017.12.20
  • Accepted : 2018.01.29
  • Published : 2018.01.31

Abstract

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.

Keywords

CNN;Signature Recognition;Fake Discrimination

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Acknowledgement

Supported by : 한성대학교