특허와 논문정보를 활용한 OCR 기술발전 동향예측에 관한 연구

• 영문명: A Study on the Prediction for the OCR Technology Development Trajectory based on the Patent and Article Information
• 발행기관: 한국IT서비스학회
• 저자명: 김원준 이상곤 표성국
• 간행물 정보: 『한국IT서비스학회지』제21권 제6호, 39~51쪽, 전체 13쪽
• 주제분류: 경제경영 > 경영학
• 파일형태: PDF
• 발행일자: 2022.12.30

영문 초록

As the 4th Industrial Revolution emerged as a key to improving national competitiveness, OCR technology, one of the major technologies in the 4th industry is in the spotlight. Since characters in various images contain a lot of information, OCR technology for recognizing these characters has evolved into technology used in many industries. In this paper, trends in OCR technology were identified and predicted using thesis data published in 'RISS' and patent data by International patent classification (IPC) under the theme of Optical character recognition (OCR). For patent data 20,000 patents related to OCR technology from 2002 to 2020 were used as data, and 432 papers from 2012 to 2022 were used as data. Through time-series analysis, each patent data and thesis data were investigated since when OCR technology has developed, and various keyword analysis predicted which technology will be used in the future. Finally, the direction of future OCR technology development was presented through network association analysis with patent data and thesis data.

목차

1. 서론

2. 관련 연구

3. AI-OCR 분석

4. 연구 방법

5. 분석 결과

6. 결론

참고문헌

키워드

OCR Technology Patent Data Thesis Data Data Analysis