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Jia Gu Wen characters, which have the features of drawings, were the most ancient graphlike Chinese characters used about 4,000 years ago. Thus, the currently available methods for Chinese character recognition are not applicable. This article proposes a two-level classification recognition method. The characters to be recognized are first abstracted to be a kind of graph, upon which the first-level classification is exercised based on their topological properties. Then the definition for generalized strokes is given. The second-level classification is exercised based on the features of these strokes. Experimental results demonstrate a recognition rate of about 94%. © 1999 John Wiley & Sons, Inc. Int J Imaging Syst Technol, 10,

Computer recognition of Jia Gu Wen characters