Handwritten Character Recognition Using Classifier

نویسندگان

  • Neha Singh
  • Sanjay Sachan
چکیده

Character recognition comes into play when we want to recognize the hand written characters in a perticular natural language. It can be done using various types of method and algorithm that are already defined.Character recognition is essentially a pattern recognition problem and has been around for years now. Although there are implementation of hand written characters in many natural languages and with many different algorithms but here we are doing the hindi charater recognition. Hand written charter recognition finds its use in todays handheld devices like phones, pda, tablet computers where user can input characters through his or her fingers or a stylus and the system recognizes the character. We will consider here the neural network and the classifier based recognition methods for our character recognition problem. Keywords— Hindi character recognition, neural networks, multilayer perceptron, error backpropagation, radial basis function.

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تاریخ انتشار 2014