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Large amounts of information are embedded in natural scenes. Signs are good examples of natural objects with high information content. In this paper, we discuss problems in automatic detection and translation of text from natural scenes. We describe the challenges of automatic text detection and propose methods to address these challenges. We extend example based machine translation technology for sign translation and present a prototype system for Chinese sign translation. This system isdoi:10.1109/icassp.2002.5745049 dblp:conf/icassp/YangCZZW02 fatcat:a6ief2hyqbaghi4vhtsn6jo3wy