DocumentCode :
2630999
Title :
Interpretation of handwritten addresses in US mailstream
Author :
Srihari, Sargur N. ; Govindaraju, Venu ; Shekhawat, A.
Author_Institution :
Center of Excellence for Document Analysis & Recognition, State Univ. of New York, Buffalo, NY, USA
fYear :
1993
fDate :
20-22 Oct 1993
Firstpage :
291
Lastpage :
294
Abstract :
Determining the delivery location for mail pieces based on handwritten addresses is a problem that trained humans can normally solve. As a problem in machine reading and interpretation, it presents many challenges. A method for determining the delivery point codes (DPCs) for handwritten addresses by computer is described. Solution to the task requires locating and recognizing address components (e.g., ZIP Code, street number, P.O. box number) and using multiple information sources to assign the DPC to an address. The methodology uses diverse pattern recognition techniques, image processing algorithms (thresholding, underline removal, separation of lines, location and recognition of address components), and access to United States Postal Service (USPS) databases to determine the DPC
Keywords :
document image processing; handwriting recognition; optical character recognition; postal services; US mailstream; United States Postal Service; address recognition; databases; delivery point codes; handwritten addresses; image processing algorithms; machine interpretation; machine reading; pattern recognition techniques; thresholding; underline removal; Cities and towns; Handwriting recognition; Humans; Image coding; Image databases; Image recognition; Pattern recognition; Postal services; Text analysis; Venus;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Document Analysis and Recognition, 1993., Proceedings of the Second International Conference on
Conference_Location :
Tsukuba Science City
Print_ISBN :
0-8186-4960-7
Type :
conf
DOI :
10.1109/ICDAR.1993.395729
Filename :
395729
Link To Document :
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