Conversion of Scanned Documents to Text Documents Using OCR Techniques
International Research Journal of Modernization in Engineering Technology and Science · 2023
In today's digital age, businesses and organizations are continually looking for ways to streamline their document management processes.One of the most significant challenges they face is the need to digitize paperbased documents.This is where Optical Character Recognition (OCR) technology comes in.OCR technology works by analysing the scanned image and identifying the shape and pattern of characters, which are then converted into electronic text.This technology has been around for several decades, and with advances in machine learning and computer vision, OCR has become more accurate and efficient.OCR has the potential to significantly reduce the time and effort required to manually transcribe documents, making it an essential tool for businesses and organizations that deal with large amounts of paper-based documentation.However, the accuracy of OCR output depends on various factors such as the quality of the original document, the complexity of the font, and the language being used.Despite these limitations, OCR is widely used in various applications, such as digitizing books and historical archives, converting invoices and receipts to electronic formats, and enhancing accessibility for visually impaired individuals.The conversion of scanned documents to text documents using OCR (Optical Character Recognition) techniques is an important process in digitizing paper-based documents.The purpose of this paper is to provide a comprehensive guide for converting scanned documents to text documents using OCR techniques.