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Offline Chinese handwriting recognition: an assessment of current technology
TLDR
We present a survey and an assessment of relevant papers appearing in recent publications of relevant conferences and journals on Chinese handwriting recognition. Expand
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Writer Verification of Arabic Handwriting
TLDR
Expanding on an earlier study to objectively validate the hypothesis that handwriting is individualistic, we extend the study to include handwriting in the Arabic script. Expand
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Versatile Search of Scanned Arabic Handwriting
TLDR
This paper describes a framework for versatile search where the query can be either text or image, and the retrieval method fuses text and image retrieval methods. Expand
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Comparison of statistical models for writer verification
TLDR
A novel statistical model for determining whether a pair of documents, a known and a questioned, were written by the same individual is proposed. Expand
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Offline Chinese Handwriting Recognition : A Survey
Offline handwriting Chinese recognition (OHCR) is a typically difficult pattern recognition problem. Many authors have presented various approaches to recognizing different aspects of it. We presentExpand
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Semi-supervised Learning for Handwriting Recognition
TLDR
We present a framework of adaptive (self-training) semi-supervised learning as applied to the problem of handwriting recognition. Expand
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Segmentation-Based And Segmentation-Free Methods for Spotting Handwritten Arabic Words
TLDR
A new algorithm for word spotting and a comparison of recent algorithms which act on previously unsegmented Arabic handwritten text is presented. Expand
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An Assessment of Arabic Handwriting Recognition Technology
TLDR
Automated methods for Arabic handwriting recognition are at an early stage compared to their counterparts for the recognition of Latin and Chinese scripts. Expand
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Prototype Integration in Off-line Handwriting Recognition Adaptation
Writer adaptation or specialization is the adjustment of handwriting recognition algorithms to a specific writer’s style of handwriting. Such adjustment yields significantly improved recognitionExpand
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