A Study on Automated Checking for Upside Down Printed Materials based on Optical Character Recognition
Minjeong Kim, Suyeon Yim, Yeseul Lee, Minwoo Kim, Jin-Woo Jung · 2018
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.