Detailed Information
Cited 0 time in 
Cited 1 time in 
Cited 1 time in
Metadata Downloads
A Study on Automated Checking for Upside Down Printed Materials based on Optical Character Recognition
- Authors
- Kim, Minjeong; Yim, Suyeon; Lee, Yeseul; Kim, Minwoo; Jung, Jin-Woo
- Issue Date
- Nov-2018
- Publisher
- IEEE
- Keywords
- Upside down checking; Bounding box; Optical character recognition
- Citation
- 2018 INTERNATIONAL CONFERENCE ON FUZZY THEORY AND ITS APPLICATIONS (IFUZZY), pp 115 - 118
- Pages
- 4
- Indexed
- SCOPUS
- Journal Title
- 2018 INTERNATIONAL CONFERENCE ON FUZZY THEORY AND ITS APPLICATIONS (IFUZZY)
- Start Page
- 115
- End Page
- 118
- ISSN
- 2377-5823
- Abstract
- Even though modern industry has been widely digitalized and automated, many printed matters aren't digitalized. And even printed matters are often scanned upside down. To check whether scanned matters is upside down or not, matters should be checked by human. This study will suggest an algorithm that checks scanned matter's direction automatically. With the help of Tesseract OCR engine and extract information of a scanned matter, it could be determined if it is scanned in right direction.
- Files in This Item
- There are no files associated with this item.
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
Related Researcher
- Jung, Jin Woo
- College of Advanced Convergence Engineering (Department of Computer Science and Artificial Intelligence)