Titlebook: Reading and Learning; Adaptive Content Rec Andreas Dengel,Markus Junker,Anette Weisbecker Book 2004 Springer-Verlag Berlin Heidelberg 2004

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Recognition of Short Handwritten Texts,re 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

RAFF

Handwritten Address Recognition Using Hidden Markov Models, system is based on Hidden Markov Models (HMMs), whereat the focus is on two main problems: the changes in the writing style depending on time or regional differences and the difficulty to select the correct (complete) dictionary for address reading. The first problem leads to the examination of thr

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A Component-Based Framework for Recognition Systems,on of an object-oriented framework for document recognition systems. We use an operator-workitem-model for integrating numerous software components of various origins and written in different programming languages. This is done by defining two standardized interfaces, namely an operator-interface fo

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,: An Adaptive System for Document Analysis and Understanding,owever, day-to-day work in companies still necessitates the laborious, manual processing of huge amounts of printed documents. This article presents the system ., a document analysis and understanding system developed by the DFKI spin-off insiders. During the research project “adaptive Read”, funded

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