논문 해외 국제전문학술지(SCI급) Development of OCR-based Applications to Improve Inventory Management
- 학술지 구분 국제전문학술지(SCI급)
- 게재년월 2019-11
- 저자명 최동걸,이소열,이재민,서민석
- 학술지명 Test Engineering and Management
- 발행처명 Mattingley Publishing Co., Inc.
- 발행국가 해외
- 논문언어 외국어
- 전체저자수 4
홈페이지논문 초록 (Abstract)
Background/Objectives: Inventory management is essential in todays business. Accurate inventory tracking allows company save their time and money for quick and accurate inventory scanning, we suggest OCR-based inventory management software. Methods/Statistical analysis: The process go through 5 steps: preprocessing, text detection, text classification, text recognition, postprocessing. We adopted character-level text detection method instead of word-levels. The annotation of character-level is extracted from word-levels through weakly supervised learning. Findings: In this way, we experimented with various previous character recognition methods with the same data set to compare performance. Furthermore, we have combined each method, and tested it with various data sets. The results showed generally higher performance than conventional methods. Unlike other image processing tasks that require RGB channels, we have found out gray scaling image in OCR process brings high accuracy of character recognition. You can check this on Table1. We have made the network spatially invariant without data augmentation by using STN(Spatial Transformer Network). Improvements/Applications: The use of OCR technology has been confined to limited fields such as document translation or license plate recognition due to its performance. We have improved the accuracy of text recognition by combining the existing OCR methods. Based on our results, we try to increase the use of OCR technology to inventory management system.