A Proposed Approach for Character Recognition Using Document Analysis with OCR

Data entry has been a hectic job since the era of data accumulation started. Apparently, that is why there is a full-fledged career in data entry. Data entry method varies with requirements. Early days of computers relied on punch cards and gradually keyboards and mouse came into picture which we still use. Touchscreens didn't take much time to replace the physical keyboard inputs and now as the result of human intelligence and innovation, the era of the optical input is here. Where the user does not even have to take the pain of thinking about entering data but can simply use an optical reader or scanner to input data. Using the computational power the individual elements like text, images, and special characters can be distinguished. OCR-Optical Character Recognizer does the work. OCR works similar to humans when it comes to character recognition as it maintains a database of characters and compares all the scanned elements with the database which makes it really simple to understand. This paper explains the working of an OCR in its different stages. That study helps in finding the various drawbacks of the conventional system. The paper also tells about how those shortcomings can be eliminated and how a better OCR that is future ready can be achieved.