Abstract
Building on our 10-year-experience with script recognition systems, a new reader generation was designed. Previously, only single handwritten words were compared against a dictionary. Now a short text is modeled and processed as a whole. The system does not proceed in a linear fashion anymore, but uses feedback between image processing, character recognition and syntactic alignment. The system features a new recognition kernel that works without prior segmentation and is based on geometric form descriptors.
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Boldt, M., Asp, C. (2004). Recognition of Short Handwritten Texts. In: Dengel, A., Junker, M., Weisbecker, A. (eds) Reading and Learning. Lecture Notes in Computer Science, vol 2956. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24642-8_6
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DOI: https://doi.org/10.1007/978-3-540-24642-8_6
Publisher Name: Springer, Berlin, Heidelberg
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