Extracting meaningful information from a scanned document

Abstract

The extraction of information from scanned documents is a crucial process in numerous fields such as administrative digitization, medical record management, business automation, and information retrieval. This project aims to develop a methodology to assist administrators in extracting relevant data from scanned documents. The proposed system combines techniques from image processing, object detection, and OCR (Optical Character Recognition) to detect and extract structured data such as names, dates, phone numbers, and addresses. This extracted information can be used to populate forms, generate reports, or serve as input for automated systems, ultimately making the processing of scanned documents more efficient and reliable