caa a22 4500 469051558 CHVBK 20180323132832.0 cr unu---uuuuu 170328e19920601xx s 000 0 eng 10.1007/BF02626998 doi (NATIONALLICENCE)springer-10.1007/BF02626998 Segmentation-recognition algorithm for zip code field recognition [Elektronische Daten] [F. Kimura, M. Shridhar] This paper describes a recognition algorithm for zip code field recognition. The algorithm consists of an initial character segmentation algorithm and a connected-numeral splitting algorithm. The initial character segmentation algorithm employs connected component analysis with component merge technique based on proximity. The numeral splitting algorithm consists of a slant splitting algorithm based on discriminant analysis and two postprocessing algorithms based on local shape analysis. The splitting algorithm is integrated with a statistical classifier to form a segmentation-recognition algorithm to resolve the ambiguity of connected numeral splitting. The performance is tested by recognition experiments on zip code fields collected from real USPS mail envelopes. Springer-Verlag New York Inc., 1992 recognition of connected numeral strings nationallicence segmentation-recognition nationallicence character recognition nationallicence zip code recognition nationallicence discriminant analysis nationallicence Kimura F. Department of Electrical and Computer Engineering, University of Michigan-Dearborn, 4901 Evergreen Road, 48128-1491, Dearborn, MI, USA aut Shridhar M. Department of Electrical and Computer Engineering, University of Michigan-Dearborn, 4901 Evergreen Road, 48128-1491, Dearborn, MI, USA aut Machine Vision and Applications Springer-Verlag 5/3(1992-06-01), 199-210 0932-8092 5:3<199 1992 5 138 https://doi.org/10.1007/BF02626998 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/BF02626998 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Kimura F. Department of Electrical and Computer Engineering, University of Michigan-Dearborn, 4901 Evergreen Road, 48128-1491, Dearborn, MI, USA aut NATIONALLICENCE 700 1- Shridhar M. Department of Electrical and Computer Engineering, University of Michigan-Dearborn, 4901 Evergreen Road, 48128-1491, Dearborn, MI, USA aut NATIONALLICENCE 773 0- Machine Vision and Applications Springer-Verlag 5/3(1992-06-01), 199-210 0932-8092 5:3<199 1992 5 138 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer