Distinguishing text from graphics in on-line handwritten ink

Christopher M. Bishop,Markus Svensen,Geoffrey E. Hinton

NINTH INTERNATIONAL WORKSHOP ON FRONTIERS IN HANDWRITING RECOGNITION, PROCEEDINGS（2004）

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摘要

We present a system that separates text from graphics strokes in handwritten digital ink. It utilizes not just the characteristics of the strokes, but also the information provided by the gaps between the strokes, as well as the temporal characteristics of the stroke sequence. It is built using machine learning techniques that infer the internal parameters of the system from real digital ink, collected using a tablet PC.

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关键词

handwriting recognition,image classification,image sequences,learning (artificial intelligence),text analysis,graphics stroke,machine learning,online handwritten digital ink,stroke sequence,tablet PC,text separation

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