Handwritten Character Recognition with Feedback Neural Network

Abstract

The ability of a machine to interpret handwritten characters from sources like paper document, photograph, etc. to some editable computerized form is the first and foremost aim of handwritten character recognition systems. Several challenges are there to construct this kind of systems, including the tasks eg. Digitization, segmentation, normalization, feature extraction, reorganization, and reconstruction. Here, an attempt has been made to recognize individual handwritten characters by the use of artificial neurons with feedback connection. The topology of the network is formed with two layers of artificial neurons, input and output. The neurons of output layer have a feedback connection from their output line.

Authors and Affiliations

Apash Roy , N. R. Manna

Keywords

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  • EP ID EP136428
  • DOI -
  • Views 152
  • Downloads 0

How To Cite

Apash Roy, N. R. Manna (2014). Handwritten Character Recognition with Feedback Neural Network. International Journal of Computer Science & Engineering Technology, 5(1), 57-62. https://europub.co.uk/articles/-A-136428