Strategies for Combining On-line and Off-line Information in an On-line Handwriting Recognition System

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ICDAR '01 Proceedings of the Sixth International Conference on Document Analysis and Recognition
Year:
2001

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Abstract

Abstract: This paper investigates the cooperation of on-line and off-line handwriting word recognition systems. Our goal is to improve a mature on-line recognition system by exploiting the complementary information present in the off-line representation built from on-line signal. After describing the on-line and off-line HMM based handwriting recognition systems, we propose a formal framework, which allows describing different strategies for combining the two HMMs. These schemes are then evaluated on the UNIPEN database, both for isolated character and word recognition tasks.