Research Paper Character Recognition

The aim of a handwriting recognition system is to convert human readable characters which are present in a photographed or digitized sheet of paper and convert it into a machine editable form.

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The universal language English presents itself simple with only 26 characters - not forgetting the divisions based on the case of letters.

Several researchers have come out with notable accuracy in the handwritten recognition of English by virtue of this.

Adding up to the scene is the similarity in writing styles of different people.

Character recognition has already been successful in foreign languages like English, Japanese, Chinese, Arabic etc.

This is an open access article under the CC BY-NC-ND license (

Peer-review under responsibility of the organizing committee of RAEREST 2016 doi:10.1016/j.protcy.20 to their corresponding Unicode values.

An important feature of Malayalam language is its enormous character set.

Thus the identification of characters may be posing another challenge in the form of similarity between the characters.

In the second phase, Malayalam sentences were used.

From the preprocessed image, we were extracted two features: classifier.

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