디지털기록관리에서의 AI OCR 데이터 활용 및 확장방안 연구
A Study on AI OCR Data Utilization and Expansion in Digital Record Management
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With the amendment of the ‘Framework Act on Electronic Documents and Electronic Transactions’ digitized documents were granted the same legal validity as paper documents. In this context, OCR technology gained significant attention. We conducted a study on the improvement of AI OCR technology for the digital conversion of paper records. By analyzing the results of projects such as OCR for public administration documents, OCR for educational materials, and multilingual OCR for cultural tourism, we identified key directions for enhancing AI OCR in record digitization processes. The research method was an in-depth expert interview, and records manager and developers participated. The analysis resulted in three recommendations. First, the development of a semantic-based search tool and the provision of summarized information. Second, the enhancement of security and compliance for records. Third, the automation of repetitive tasks through the integration of OCR with RPA(Robotic Process Automation) algorithms. The expansion of OCR technology has resulted in reduced human errors and increased reliability in the digitization process, decreased workload for specialized personnel, and enhanced security in records management.
Abstract
With the amendment of the ‘Framework Act on Electronic Documents and Electronic Transactions’ digitized documents were granted the same legal validity as paper documents. In this context, OCR technology gained significant attention. We conducted a study on the improvement of AI OCR technology for the digital conversion of paper records. By analyzing the results of projects such as OCR for public administration documents, OCR for educational materials, and multilingual OCR for cultural tourism, we identified key directions for enhancing AI OCR in record digitization processes. The research method was an in-depth expert interview, and records manager and developers participated. The analysis resulted in three recommendations. First, the development of a semantic-based search tool and the provision of summarized information. Second, the enhancement of security and compliance for records. Third, the automation of repetitive tasks through the integration of OCR with RPA(Robotic Process Automation) algorithms. The expansion of OCR technology has resulted in reduced human errors and increased reliability in the digitization process, decreased workload for specialized personnel, and enhanced security in records management.