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Titlebook: Arabic and Chinese Handwriting Recognition; Summit, SACH 2006, C David Doermann,Stefan Jaeger Conference proceedings 2008 Springer-Verlag B

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Erziehungs- und Bildungspartnerschaftens further extensions to the Arabic alphabet and altered shapes of some Arabic letters. The differences between current Arabic and Persian handwritings for automated recognition purposes are discussed. A short review on techniques in Persian script recognition is presented, and the shortcomings and challenges in this area are highlighted.
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Lebenswelten als Bildungswelten text and image retrieval methods. A UNICODE and an image query are maintained throughout the search, with the results being combined by a neural network. Preliminary results show positive results that can be further improved by refining the component pieces of the framework (text transcription and image search).
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A Review on Persian Script and Recognition Techniques,s further extensions to the Arabic alphabet and altered shapes of some Arabic letters. The differences between current Arabic and Persian handwritings for automated recognition purposes are discussed. A short review on techniques in Persian script recognition is presented, and the shortcomings and challenges in this area are highlighted.
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Versatile Search of Scanned Arabic Handwriting, text and image retrieval methods. A UNICODE and an image query are maintained throughout the search, with the results being combined by a neural network. Preliminary results show positive results that can be further improved by refining the component pieces of the framework (text transcription and image search).
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Ensemble Methods to Improve the Performance of an English Handwritten Text Line Recognizer,ER, a voting based framework commonly used in continuous speech recognition. Additionally, we extend this framework with a statistical combination method. The experimental evaluation shows that the proposed ensemble methods have the potential to improve the recognition accuracy compared to a single recognizer.
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Handlungsprogrammatik des DDR-Kindergartensh a long-enough field, its accuracy converges to that of a style-specific classifier trained on the writer of the unknown query. Neither SIC nor SCC requires the query words to appear among the references.
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Techniques for Solving the Large-Scale Classification Problem in Chinese Handwriting Recognition,ng via decision trees and sub-vector matching. The techniques are applied to Chinese handwritten characters, expressed as feature vectors derived by extraction operations, such as nonlinear normalization, directional feature extraction, and feature blurring.
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