An Efficient Technique for CHARACTER RECOGNITION Using Neural Network & Surf Feature Extraction

Abstract- Character Recognition has been one of the active and challenging areas of research in the field of image processing and pattern recognition. Recognition of English alphabet in a given scanned text document with the help of using Matlab Neural Network toolbox. Neural network and Surf Feature has demonstrated its capability for solving complex character recognition problems. Commonly solved problems of characters have limited scope. Noise reduction plays an important role in Character Recognition. The proposed research work use neural network algorithm and surf feature extraction with their implementation details for solving character recognition problems. This algorithms has been performed based on Noise in input image provide promising results in terms of PSNR and MSE