Handwritten Gujarati text recognition using artificial neural network and Error correction using Probabilistic Neural network in recognized text
Sagar S.Dutt, Jay Amin · International journal of advance research and innovative ideas in education · 2016
Optical character recognition refers to the process of translating images of hand-written, typewritten, or printed text into a format understood by machines for the purpose of editing, indexing/searching, and a reduction in storage size. Optical character recognition is the mechanical or electronic translation of images of handwritten, typewritten or printed text into machine-editable text. Here we will talk about the Handwritten gujarati character recognition using Artificial neural network and error correction using probabilistic neural network. Character recognition is performed by the Artificial neural networks. Artificial neural networks are commonly used to perform character recognition due to their high noise tolerance. Errors in the character recognition is corrected by the RBPNN(Radial Basis Probabilistic Neural Network) method.