Handwritten characters are extremely challenging to comprehend because people's writing styles differ greatly from each other. Detecting and deciphering legible handwriting input from sources like touch screens, images, paper documents, and other sources is referred to as handwriting character recognition. Handwritten word recognition involves a variety of Soft Computing Techniques. The provision of costeffective, high-performance, and dependable responses is one of the many advantages that come with employing a Soft Computing strategy. Handwriting character recognition uses various techniques and methods. Few use neural networks. Neural networks are more efficient and robust than other methods for recognising handwriting. This paper intends to report the development of a system for reading digital copies of handwritten text

Soft Computing, ANN, Recognition, Reliable, Image Processing