On line handwriting recognition takes on a novel significance in the context of Indian languages. Using this string representation, an unknown stroke is identified by comparing it with a database of strokes using elastic matching technique On-line handwriting data are a dynamic, digitized representation of a (digital) pen movement, generally describing sequential information about position, velocity, acceleration or even pen angles as a function of time. In our approach, an on-line handwritten character is characterized by structure- or- shape-based representation of a stroke in which a stroke is represented as a string of shape features. Handwritten character is the aggregation of sequence of strokes.
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