Journal of the Korea Convergence Society (한국융합학회논문지)

Korea Convergence Society (한국융합학회)
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Optical Character Recognition based Security Document Image File Management System

광학문자인식 기반 보안문서 이미지 파일 관리 시스템

  • Jeong, Pil-Seong (Dept. of Information Technology Communication, Myongji College) ;
  • Cho, Yang-Hyun (Division of Computer & Mechatronics Engineering, Sahmyook University)
  • 정필성 (명지전문대학 정보통신공학과) ;
  • 조양현 (삼육대학교 컴퓨터.메카트로닉스공학부)
  • Received : 2018.12.28
  • Accepted : 2019.03.20
  • Published : 2019.03.28
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Abstract

With the development of information and communication technology, we have been able to access and manage documents containing corporate information anytime and anywhere using smart devices. As the work environment changes to smart work, the scope of information distribution is expanded, and more efforts are needed to manage security. This paper proposes a file sharing system that enables users who have smart devices to manage and share files through mutual cooperation. Proposed file sharing system, the user can add a partner to share files with each other when uploading files kept by spliting the part of the file and the other uses an algorithm to store on the server. After converting the file to be uploaded to base64, it splits it into encrypted files among users, and then transmits it to the server when it wants to share. It is easy to manage and control files using dedicated application to view files and has high security. Using the system developed with proposed algorithm, it is possible to build a system with high efficiency even for SMEs(small and medium-sized enterprises) that can not pay much money for security.

정보통신 기술의 발전으로 우리는 사무실에서 개인용 컴퓨터를 이용한 방식의 회사업무처리에서 벗어나 스마트 기기를 이용하여 언제 어디서나 편리하게 업무를 처리하는 스마트워크 환경을 경험하고 있다. 오피스 프로그램을 이용하여 작성한 문서를 이메일 서비스를 이용하여 주고받던 것을 스마트 기기를 이용하여 사진을 찍고 모바일 메신저로 전송하는 것으로 대신할 수 있다. 제조현장에서는 보안문서인 작업지시서를 스마트 기기를 이용하여 사진을 찍고 공유하는 것을 쉽게 볼 수 있다. 본 논문에서는 제조현장에서 근로자의 스마트 기기에 남겨지는 보안문서 이미지 파일을 찾아내고 삭제 처리하는 시스템을 제안한다. 제안한 시스템은 광학문자인식 기술을 이용하여 이미지의 글씨를 인식한 후 키워드화 시켜 일치하는 비율을 통해 보안문서 이미지 파일을 검색해내고 삭제 처리한다. 본 논문에서 제안한 시스템을 이용할 경우 중소기업에서도 효율성 높은 시스템을 구축하여 보안인식이 낮은 제조현장의 작업자들도 편리하게 보안문서 파일을 관리할 수 있다.

Keywords

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Fig. 1. Proposed network model

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Fig. 2. Image upload and save keyword

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Fig. 3. Search and find image that has keyword

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Fig. 4. Image upload screen

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Fig. 5. Image list screen

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Fig. 6. Smart device application screen

Table 1. Google Cloud Vision API Feature

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Table 2. Apache Cordova Plugin API Services

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Table 3. USER table scheme

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Table 4. IMAGE table scheme

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Table 5. KEYWORD table scheme

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Table 6. Image file processing time

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