Journal of the Korean Society for information Management (정보관리학회지)

Korean Society for Information Management (한국정보관리학회)
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A Case Study on the Application of AI-OCR for Data Transformation of Paper Records

종이기록 데이터화를 위한 AI-OCR 적용 사례연구

  • Received : 2022.08.14
  • Accepted : 2022.09.14
  • Published : 2022.09.30
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Abstract

It can be said that digital technology is at the center of the change in the modern work environment. In particular, in general public institutions that prove their work with records produced by business management systems and document production systems, the record management system is also the work environment itself. Gimpo City applied for the 2021 public cloud leading project of the National Information Society Agency (NIA) to proactively respond to the 4th industrial revolution technology era and implemented a public cloud-based AI-OCR technology enhancement project with 330 million won in support of 330 million won. Through this, it was converted into data beyond the limitations of non-electronic records limited to search and image viewing that depend on standardized index values. In addition, a 98% recognition rate was realized by applying a new technology called AI-OCR. Since digital technology has been used to improve work efficiency, productivity, development cost, and record management service levels of internal and external users, we would like to share the direction of enhancing expertise in the record management and implementation of work environment innovation.

현대 업무환경 변화의 중심은 디지털 기술이라고 할 수 있다. 특히 업무관리시스템 및 문서생산시스템에서 생산한 기록으로 업무를 증명하는 일반적인 공공기관에서 기록관리체계는 업무환경 그 자체이기도 하다. 김포시는 제4차 산업혁명기술 시대에 선제적으로 대응하고 업무환경 혁신을 이루기 위해 한국지능정보사회진흥원(NIA)의 2021년 공공부문 클라우드 선도 프로젝트 사업에 지원하였고 선도 기관으로 확정되어 3억 3천의 지원을 받아 공공 클라우드 기반의 AI-OCR을 통한 기록물 검색 및 활용기능 강화 프로젝트를 진행하였다. 이를 통해 규격화된 색인 값에 의존한 검색과 이미지 열람에 그치던 비전자기록의 한계를 넘어 데이터화 하였고 AI-OCR이라는 신기술 적용으로 98%의 인식률을 구현하였다. 공공기관에 디지털 기술을 사용하여 업무 효율화, 생산성 향상, 개발비용 절감, 내·외부 이용자들의 기록관리 서비스 수준의 제고를 이루었기에 신기술과 기록물관리의 결합 사례연구를 통해 기록관리 분야 본연의 전문성을 높이는 방향과 업무환경 혁신 구현 사례를 공유하고자 한다.

Keywords

References

  1. Republic of Korea. Ministry of Science and ICT (2018). Artificial Intelligence (AI) R&D Strategy for Realizing I-Korea 4.0.
  2. Ahn, Se-jin (2021). Public Sector Cloud Leading Project Support Project Plan. The City of Gimpo.
  3. Alligator Digital (2021). 2021 AI-OCR Recognition Rate Report for Cloud Technology Leading Project in Public Sector. The City of Gimpo.
  4. Cho, Jae-Wook (2020). Case studies for insurance service marketing using artificial intelligence (AI) in the insurtech industry. Journal of Digital Convergence, 18(10). https://doi.org/10.14400/JDC.2020.18.10.175
  5. Ha, Seung-rok, Ahn, Dae-jin, & Yim, Jinhee (2017). An experimental study on the automatic interlinking of meaning for the LOD construction of record information. Journal of Korean Society of Archives and Records Management, 17(4). https://doi.org/10.14404/JKSARM.2017.17.4.177
  6. Hwang, Yun-young (2019). Proposal record automation service based on ai by using OCR and pattern analysis algorithm. Journal of the Korean Society for Information Processing, 26(2). https://doi.org/10.3745/PKIPS.y2019m10a.530
  7. Jang, Chang-bok & Kim, Ki-bong (2022). Implementation of pre- and post-processing technology to improve accuracy of OCR recognition engine based on deep learning. Journal of Convergence for Information Technology, 12(1). https://doi.org/10.22156/CS4SMB.2022.12.01.163
  8. Joo, Hyun-woo (2019). Case study of intelligence record management system focus on improving the use of current record: the case of korea midland power company. Journal of Korean Society of Archives and Records Management, 19(4). https://doi.org/10.14404/JKSARM.2019.19.4.221
  9. Kim, Hae-Chansol, Ahn, Daejin, Yim, Jinhee, & Lee, Haeyoung (2017). A study on automatic classification of record text using machine learning. Journal of the Society for Information Management, 34(4). https://doi.org/10.3743/KOSIM.2017.34.4.321
  10. Kim, In-taek, Ahn, Dae-jin, & Lee, Hae-young (2017). Intelligent records and archives management that applies artificial intelligence. Journal of Korean Society of Archives and Records Management, 17(4). https://doi.org/10.14404/JKSARM.2017.17.4.225
  11. Kim, Ja-kyung, Oh, Ji-man, & Lee, Wang-heon (2021). Recognition of highway entry status and license plate recognition using YOLO-v3. A Collection of Papers from the Korean Society for Control and Robot Systems, 2021(6).
  12. Kim, Jong-eun (2019). A study on the automatic recognition of AI-based port documents using OCR: based on the application of KNN algorithm. Journal of the Korean Society for Information Processing, 26(2), 872-875. https://doi.org/10.3745/PKIPS.y2019m10a.872
  13. Kim, Pil-ho (2022). A Study on the Improvement of OCR Hangul Recognetion Rate for Efficient Search Utilization of Records. Master's thesis, the Department of Archives Management, Joongbu University.
  14. Kim, Tae-young, Kang, Ju-yeon, Kim, Gun, & Oh, Hyo-jung (2018). A study on the current status and application strategies for intelligent archival information services. Journal of Korean Society of Archives and Records Management, 18(4). https://doi.org/10.14404/JKSARM.2018.18.4.149
  15. Kim, Yong-seop (2021). Asia's Largest Digital Transformation Platform [Internal data]. Alligator Digital.
  16. Kim, Yong-soo (2021). A Study on the Application of Deep Learning-Based AI OCR for the Efficient Utilization of Paper Records in Public Institutions. Master's thesis, the Department of Archives Management, Joongbu University.
  17. Ryu, Han-jo, Lee, Kyung-nam, Hwang, Jin-hyun, & Yim, Jinhee (2021). A study on the introduction of intelligent document processing and change of record management. The Korean Journal of Archival Studies, 68. https://doi.org/10.20923/kjas.2021.68.041
  18. Yim, Jinhee (2021). Suggestions on how to convert official documents to machine readable. The Korean Journal of Archival Studies, 67. https://doi.org/10.20923/kjas.2021.67.099
  19. Yoon, Chan-Ho (2020). The study of authorized / unauthorized vehicle recognition system using image recognition with neural network. Journal of the Electronic Communications Society of Korea, 15(2). https://doi.org/10.13067/JKIECS.2020.15.2.299
  20. Yoon, Jung-hwan (2021). Data from the Interim Report on Strengthening Search and Utilization Functions through the Integrated Management System of AI Records in Gimpo. Gimpo City.