Abstract
Handwritten character recognition is conversion of handwritten text to machine readable and editable form. Online character recognition deals with live conversion of characters. Malayalam is a language spoken by millions of people in the state of Kerala and the union territories of Lakshadweep and Pondicherry in India. It is written mostly in clockwise direction and consists of loops and curves. The method aims at training a simple neural network with three layers using backpropagation algorithm. Freeman codes are used to represent each character as feature vector. These feature vectors act as inputs to the network during the training and testing phases of the neural network. The output is the character expressed in the Unicode format.
Highlights
Optical character recognition (OCR) can be based on conversion of typewritten or printed characters as in textbooks or it can deal with conversion of handwritten text into machine editable form
Conversion of handwritten characters is important for making several important documents related to our history, such as manuscripts, into machine editable form so that it can be accessed and preserved
Handwritten character recognition is generally more difficult than conversion of printer and typed characters since, in latter there is a standard set of fonts to which it can be mapped
Summary
Optical character recognition (OCR) can be based on conversion of typewritten or printed characters as in textbooks or it can deal with conversion of handwritten text into machine editable form. The method of conversion of already existing information is called Offline character recognition. Handwritten character recognition is generally more difficult than conversion of printer and typed characters since, in latter there is a standard set of fonts to which it can be mapped. The method used in these basic steps varies according to the application
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