A RESEARCH PAPER ON DIGIT & CHARACTER INSTRUCTOR USING ML









Abstract

By the extended utilization of virtual technology in each sector and in almost all everyday activities to keep and give information, Handwritten recognition has come to be a famous problem of research. It refers to the machine capacity to find and interpret textual input from Handwriting resource which includes contact screens, photographs, paper documents, and different resource. Written text remains complicated for the reason that unique humans have unique writing styles. This paper will target the document which will improve the HWR system so that it will be used for the kids of the society to provide them the basic knowledge of character writing and the digit from 0 to 9 and many more features through which kids will learn as well as having funny sessions for them. Many strategies and techniques are used to increase a HCR system. However, some of the recognition on neural networks. The purpose is to illustrate the effectiveness of neural networks for HWR. The paper will depict the exceptional manner to address recover from 90% exactness within side the area of Text Recognition.


Modules


Algorithms


Software And Hardware