Ninth International Conference on Document Analysis and Recognition (ICDAR 2007) Vol 2 An Analytic Word Recognition Algorithm Using a Posteriori Probability Curitiba, Parana, Brazil September 23-September 26 ISBN: 0-7695-2822-8
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICDAR.2007.44
Word recognition algorithms are classified into two major groups. One is an "analytic" approach of recognizing individual characters, while the other is a "holistic" approach dealing with an entire word image. In the former approach, matching scores used to be calculated using heuristic functions, such as an average of confidence values on character recognition. In some non-heuristic studies, a stochastic evaluation function is employed, which is a ratio between an "a posteriori" probability and an "a priori" probability ("a posteriori" probability ratio). In this research, a new evaluation function is proposed, which is an improvement of "a posteriori" probability ratio. A result of an experiment using real images shows 9.1% improvement on handwritten word recognition.
Citation:
T. Hamamura, T. Akagi, B. Irie, "An Analytic Word Recognition Algorithm Using a Posteriori Probability," icdar, vol. 2, pp.669-673, Ninth International Conference on Document Analysis and Recognition (ICDAR 2007) Vol 2, 2007 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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