Handwritten Character Recognition has been one among the active and challenging research areas in the field of
image processing and pattern recognition .Its employed in numerous applications which include, reading aid for blind, bank
cheques and conversion of any hand document into structural text form. Handwritten characters for English alphabets without
feature extraction using multilayer feedforward neural network. Each character data set contains the 26 alphabets. The trained
network is employed for classification and recognition