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Titlebook: Document Analysis Systems VII; 7th International Wo Horst Bunke,A. Lawrence Spitz Conference proceedings 2006 Springer-Verlag GmbH Germany,

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Julia Gremm,Julia Barth,Wolfgang G. Stockficially generated patterns and real characters. We examine the effectiveness of the proposed method with respect to the recognition rates and number of support vectors of SVM through experiments involving the handwritten Japanese Hiragana character classification.
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Wilson López López,Laura K. Taylordo possess discriminative power. The results are also compared to those obtained in our preceding study, and it is shown that use of the vector skeletonisation allows both extraction of more structural features and improvement the feature extraction accuracy from 87% to 94%.
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https://doi.org/10.1007/978-3-531-92598-1e leaves images satisfying a certain condition on their logarithmic histogram are processed. Some experiments, done on real ancient document images provided by the archives of “Chatillon-Chalaronne” illustrate the effectiveness of the suggested method.
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Creativity and the Knowledge Societyved by error backpropagation leading to correct or pick up a more adapted input feature subset. Several feature subsets are created using a modified filter method. The first experiments performed on scientific documents are encouraging.
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https://doi.org/10.1007/978-3-030-05045-0nted. We finally present current applications of this work into various domains, spacing from data mining to multimedia navigation, and consistently benefiting from our canonical format in order to access PDF document content and structures.
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Restoring Ink Bleed-Through Degraded Document Images Using a Recursive Unsupervised Classification Te leaves images satisfying a certain condition on their logarithmic histogram are processed. Some experiments, done on real ancient document images provided by the archives of “Chatillon-Chalaronne” illustrate the effectiveness of the suggested method.
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XCDF: A Canonical and Structured Document Formatnted. We finally present current applications of this work into various domains, spacing from data mining to multimedia navigation, and consistently benefiting from our canonical format in order to access PDF document content and structures.
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A Semi-automatic Adaptive OCR for Digital Librariescability of our design for the recognition of Indian Languages is demonstrated. Recognition errors are used to train the OCR again so that it adapts and learns for improving its accuracy. Limited human intervention is allowed for evaluating the output of the system and take corrective actions during the recognition process.
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