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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
| ASCII Text | x | ||
| T. Hamamura, T. Akagi, B. Irie, "An Analytic Word Recognition Algorithm Using <i>a Posteriori</i> Probability," Document Analysis and Recognition, International Conference on, vol. 2, pp. 669-673, Ninth International Conference on Document Analysis and Recognition (ICDAR 2007) Vol 2, 2007. | |||
| BibTex | x | ||
| @article{ 10.1109/ICDAR.2007.44, author = {T. Hamamura and T. Akagi and B. Irie}, title = {An Analytic Word Recognition Algorithm Using <i>a Posteriori</i> Probability}, journal ={Document Analysis and Recognition, International Conference on}, volume = {2}, year = {2007}, issn = {1520-5363}, pages = {669-673}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICDAR.2007.44}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - CONF JO - Document Analysis and Recognition, International Conference on TI - An Analytic Word Recognition Algorithm Using <i>a Posteriori</i> Probability SN - 1520-5363 SP669 EP673 A1 - T. Hamamura, A1 - T. Akagi, A1 - B. Irie, PY - 2007 VL - 2 JA - Document Analysis and Recognition, International Conference on ER - | |||
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
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