Two-dimensional extended attribute grammar method for the recognition of hand-printed chinese characters

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Abstract

This paper introduces the design and realization of two-dimensional extended attribute grammar method (2D EAG for short) for the recognition of hand-printed Chinese characters. In this method, 2D EAGs are used to carry both overall character shape information and local features of samples, and to conduct top-down matching and bottom-up reduction. The strategies of separating element drawing and grammar processing, autonomous component drawing, two dimensional redundant reduction, and structure analogizing are proposed.

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Supported by National Natural Science Foundation of China, No. 6883024.

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