Character Recognition Using Neural Network (Stages of Module of character…
Character Recognition Using Neural Network
Handwriting recognition is one of the most challenging areas of pattern recognition. It is extremely useful in a wide range of real world parctical problems, including documentation analysis, mailing address interpretation, bank check processing, signature verification, document verification and many others.
The authors describe the stage of segmentaion. And they examined the types of segmentation. The types are line, word and character.
Feed forward network
In this part authors described the structure and operation of feed forward network.
Authors provide useful method for the recognition of handwritten characters.
The method based on neural network gives the accuracy 85% .
Stages of Module of character recognition system
Gray scale image
They conducted experiments. You can see the process of the character recognition.