Issue No. 07 - July (1992 vol. 25)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/2.144441
<p>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 approximately 10000 images, five- and nine-digit ZIP code fields taken from real mail.</p>
C. E. Stenard et al., "Reading Handwritten Digits: A ZIP Code Recognition System," in Computer, vol. 25, no. , pp. 59-63, 1992.