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A Discriminative Model for On-line Handwritten Japanese Text - IEEE - icdar2011

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The document presents a paper from the 2011 International Conference on Document Analysis and Recognition, detailing a discriminative model for retrieving on-line handwritten Japanese text. The proposed system integrates character recognition scores, segmentation, and geometric context to enhance retrieval accuracy. Experiments conducted on the TUAT Kuchibue database demonstrate significant improvements in performance metrics (f-measure) for keyword searches of varying lengths, showcasing the effectiveness of the model compared to previous methods.

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