A Case Study in Computer Understanding of Printed-Forms

摘要

Data entry is a time consuming and erroneous procedure in its nature. In addition, validitycheck of submitted information is not easier than retyping it. In a mega-corporation like KanoonFarhangi Amoozesh, there are almost no way to control the authenticity of students' educationalbackground. By the virtue of fast computer architectures, optical character recognition, a.k.a.OCR, systems have become viable. Unfortunately, general-purpose OCR systems like Google'sTesseract are not handful because they don't have any a-priori information about what they arereading. In this paper the authors have taken a in-depth look on what has done in the field ofOCR in the last 60 years. Then, a custom-made system adapted to the problem is presentedwhich is way more accurate than general purpose OCRs. The developed system reads more than60 digits per second. As shown in the Results section, the accuracy of the devised method isreasonable enough to be exposed in public use.