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Line removal and handwritten word recognition of police accident report forms
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ACM International Conference Proceeding Series; Vol. 390 archive
Proceedings of the 10th Annual International Conference on Digital Government Research: Social Networks: Making Connections between Citizens, Data and Government table of contents
DEMONSTRATION SESSION: System demonstrations and posters table of contents
Pages 317-318  
Year of Publication: 2009
ISBN:978-1-60558-535-2
Authors
Daekeun You  University at Buffalo, Amherst, NY
Zhixin Shi  University at Buffalo, Amherst, NY
Venu Govindaraju  University at Buffalo, Amherst, NY
Alan Blatt  CUBRC, Buffalo, NY
Sponsor
: Digital Government Society of North America
Publisher
Bibliometrics
Downloads (6 Weeks): 6,   Downloads (12 Months): 11,   Citation Count: 0
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ABSTRACT

In this paper, we present an approach for line removal and handwritten word recognition using the New York State MV- 104A Police Accident Report (PAR) form. Only limited space is available on the form for written inputs and hence many handwritten characters overlap or touch the form's preprinted lines and characters. The complex structure of the form and the touching characters make line removal and word recognition difficult. We addressed this problem using run-length coding scheme and baseline analysis. Preliminary word recognition tests show promising results for PAR form processing and filled-in data extraction and recognition.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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C. Y. Suen, et al. Bank check processing system. Int'l J. of Imaging Systems and Technology, 7(4): 392--403, 1996.
 
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N. Otsu. A threshold selection method from gray level histograms. IEEE Transactions on Systems, Man and Cybernetics, 9:62--66, Mar. 1979.

Collaborative Colleagues:
Daekeun You: colleagues
Zhixin Shi: colleagues
Venu Govindaraju: colleagues
Alan Blatt: colleagues