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Design and Implementation of Personal Information Identification and Masking System Based on Image Recognition

이미지 인식 기반 향상된 개인정보 식별 및 마스킹 시스템 설계 및 구현

  • 박석천 (가천대학교 컴퓨터공학과)
  • Received : 2017.07.31
  • Accepted : 2017.10.13
  • Published : 2017.10.31

Abstract

Recently, with the development of ICT technology such as cloud and mobile, image utilization through social networks is increasing rapidly. These images contain personal information, and personal information leakage accidents may occur. As a result, studies are underway to recognize and mask personal information in images. However, optical character recognition, which recognizes personal information in images, varies greatly depending on brightness, contrast, and distortion, and Korean recognition is insufficient. Therefore, in this paper, we design and implement a personal information identification and masking system based on image recognition through deep learning application using CNN algorithm based on optical character recognition method. Also, the proposed system and optical character recognition compares and evaluates the recognition rate of personal information on the same image and measures the face recognition rate of the proposed system. Test results show that the recognition rate of personal information in the proposed system is 32.7% higher than that of optical character recognition and the face recognition rate is 86.6%.

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