Some investigations on designing a Unified framework for character Recognition

Abstract

newlineCharacter recognition is one of the fascinating research areas in the newlinefield of pattern recognition. It is a technology that generates machine-readable newlineinformation from the image of characters. The origins of character recognition newlinecan be traced to pre-computer technologies. The early character recognition newlinesystems were mechanical machines that could recognize characters, albeit at a newlinevery slow rate and with limited precision. The development of integrated newlinecircuits increased the speed of character recognition, decreased its cost, and newlineenabled the processing of a vast array of forms and documents. Numerous newlineindustries, including banks, post offices, newspaper publishers, train/aircraft newlinecompanies, retail firms, had an increasing demand for this optical character newlinerecognition technology. The demand for handwritten character recognition newlinealso got increased to improve automatic data entry into computers as manual newlinedata entry of large amount of handwritten data, such as pin codes in newlineletters/envelopes, amounts written on bank cheques, money values written on newlinebills, and names written on forms etc was tedious job. Similarly, newlinedevelopment of numerous computer vision-based applications such as newlineindustrial automation, robot navigation, image search, and rapid translations newlinehas also prompted researchers to focus on character recognition in natural newlineimages newline