We study models that characterize pen trajectories of online handwritten characters in a fine manner. We propose radical based fine trajectory hidden Markov models (HMMs), which...
The main problems of Optical Character Recognition (OCR) systems are solved if printed latin text is considered. Since OCR systems are based upon binary images, their results are ...
—One of the most challenging topics is the recognition of Chinese handwriting, especially offline recognition. In this paper, an offline recognition system based on multifeature ...
Yuan Yan Tang, Lo-Ting Tu, Jiming Liu, Seong-Whan ...
A new simple algorithm, based on dynamic programming is presented, for handwritten character recognition, with improved accuracy. The proposed Shape Transform (ST) approach is bas...
In this paper we propose a new segmentation approach applied to Arabic handwriting, which can reconstruct in offline a tracing path similar to that in the case of online. Our appr...