Published Paper Details:

Optical Character Recognition (OCR) has been a major application of Computer Vision for the past decade. OCR means converting handwritten, Typed, or Printed text into Machine-readable text. In this paper, I have described how OCR systems are being used currently with their benefits and limitations. The various applications of OCR in data collection, management, and manipulation as document scanners are also described in this paper. Tesseract-OCR is an optical character recognition engine that is available under the Apache 2.0 license. It is compatible with several programming languages and frameworks through wrappers. One such wrapper is Pytesseract. I have created a simple text recognizing model using Pytesseract and OpenCV that can perform several functions such as detecting characters, detecting words, detecting just digits, converting handwritten text to computer-readable text, and detecting multiple language text. The features of this model are also described in this research paper.