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This article presents an off-line method for recognizing handwritten digits. Structural information and quantitative features are extracted from images of isolated numerals to be classified by a hybrid multi-stage recognition system. Feature extraction starts with the raw pixel-image and derives more structured representations like line-drawings and attributed structural graphs. Classification is done in two steps: a) the structural graph is matched to prototypes, b) for each prototype there isdoi:10.1109/icnn.1997.613997 dblp:conf/icnn/BehnkePR97 fatcat:o2rlgav2mbdynjbbvl4vmleete