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Continuous handwriting input using the finger on small devices such as PDAs and mobile phones is difficult if not impossible. Also, handwriting input has always required significant attention from the user during the process of writing. This paper describes the challenges from the perspective of recognizing eyes-free handwriting input and explain the architecture of the recognition system in detail. Recognition is performed using word-level Hidden Markov Models (HMM), and empirical evaluation of the recognition accuracy using English and Tamil handwriting datasets has shown promising results.

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Format:PDFSize:203 KB
Date:May 2008
Pages:7

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