publication . Article . 1992

Reading handwritten digits: a ZIP code recognition system

Matan, Ofer; Baird, Henry S.; Bromley, Jane M.; Burges, Christopher J. C.; Denker, John S.; Jackel, Lawrence D.; Le Cun, Yann; Pednault, Edwin P. D.; Satterfield, William D.; Stenard, Charles E.; ...
Open Access
  • Published: 01 Jan 1992 Journal: Computer, volume 25, pages 59-63 (issn: 0018-9162, Copyright policy)
  • Publisher: Institute of Electrical and Electronics Engineers (IEEE)
A neural network algorithm-based system that reads handwritten ZIP codes appearing on real US mail is described. The system uses a recognition-based segmenter, that is a hybrid of connected-components analysis (CCA), vertical cuts, and a neural network recognizer. Connected components that are single digits are handled by CCA. CCs that are combined or dissected digits are handled by the vertical-cut segmenter. The four main stages of processing are preprocessing, in which noise is removed and the digits are deslanted, CCA segmentation and recognition, vertical-cut-point estimation and segmentation, and directly lookup. The system was trained and tested on approx...
ACM Computing Classification System: ComputingMethodologies_PATTERNRECOGNITION
free text keywords: Preprocessor, Pattern recognition, Handwriting recognition, Robustness (computer science), Segmentation, Connected component, Computer science, Speech recognition, Recognition system, Image processing, Artificial intelligence, business.industry, business, Artificial neural network
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