Abstract
Handwriting recognition is the most popular area of research which provides major contribution to the trending technology - mobile computing. This paper provides technical details for the implementation of Handwriting recognition system. The techniques suitable for offline and online handwriting recognition system are also discussed. Some of the pre-processing and classification algorithms like normalization; re-sampling, Principal Component Analysis (PCA) and Dynamic Time Wrapping (DTW) are presented in this paper.
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