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A handwritten Chinese address recognition (HCAR) system is proposed in this paper. Handwritten Chinese addresses are difficult to recognize because handwritten Chinese characters are characterized by a large vocabulary, complicated structure, irregular distortion and touching characters, etc. The proposed approach takes good advantage of Chinese address knowledge, and applies key character extraction and holistic word matching in solving the problem. Different from conventional approaches, the proposed approach can successfully avoid character segmentation errors. Experimental results show the proposed approach is very effective. [ABSTRACT FROM AUTHOR]