This paper introduces 2-D EAG method for hand printed Chinese character recognition. The main works are: Propose Two-Dimensional Extended Attribute Grammar (2-D EAG for short) method, in which both bottom-up reduction And top-down deduction are realized for two-way information transmitting and control; Propose a recognition scheme utilizing directly two dimensional information, to avoid information losses caused by linearization of features; Provide polysemous grammars, coexisting grammars and structure inferrigs which build special linkages among grammars and distinguish among similat samples by structural analogy;Besides,realize also redundant reduction scheme,stroks segment drawing algorithm with elastic tracing of contour lines, lines and redundant guided component drawing algorithm.The recognition experiment with 100 categories of hand printed Chinese characters is conducted and very good result is achieved in overcoming large scale strural distortions(including some cursive writings).