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Segmentation of overlapping cursive handwritten digits

Published: 16 September 2008 Publication History

Abstract

In this paper, we describe an approach for the problem of segmenting overlapping characters. We are working with digit segmentation for bank check processing. Our method is based on the idea of a hypothetical ball traversing the number. The inertia of the movement segments the overlapping digits. Rules are defined for this movement. Our initial proposal achieved very good results with O(n2) complexity.

References

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Congedo, G., et al. 1995. Segmentation of Numeric Strings, In Proceedings of Third International Conference on Document Analysis and Recognition (Montreal, Canada, August 1995). ICDAR 95, IEEE Computer Society Press, pp. 1038--1041.
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Jia Tse, et al. 2007. An OCR-Independent Character Segmentation Using Shortest-Path in Grayscale Document Images. In Proceedings of the Int. Conference on Machine Learning and Applications (Cincinnati, USA, December 2007). IEEE Computer Society Press, pp. 142--147.
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Lu, Y. and Shridhar, M., "Character Segmentation in Handwritten Words - An Overview", Pattern Recognition, 1996, Vol 29, no. 1, pp. 77--96.
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Mello, C.A.B., et al. 2007. An Efficient Thresholding Algorithm for Brazilian Bank Checks. In Proceedings of the International Conference on Document Analysis and Recognition (Curitiba, Brazil, September 2007). ICDAR 07. IEEE Computer Science Press, pp. 193--197.
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Neves, R.F.P., et al. 2008. A New Technique to Threshold the Courtesy Amount of Brazilian Bank Checks. In Proceedings of the 15th IWSSIP, (Bratislava, Slovak Republic, June 2008), IEEE Press, in press.
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Parker, J.R. 1997. Algorithms for Image Processing and Computer Vision, John Wiley and Sons.
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Renaudim, C., et al. 2007. A General Method of Segmentation-Recognition Collaboration Applied to Pairs of Touching and Overlapping Symbols. In Proceedings of the International Conference on Document Analysis and Recognition (Curitiba, Brazil, September 2007). IEEE Computer Society Press, pp. 659--663.
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Silva JR, E., et al. 2008. Feature Selection and Model Design through GA Applied to Handwritten Digit Recognition from Historical Document Images. In Proceedings of the International Conference on Frontiers in Handwritten Recognition, (Montreal, Canada, August 2008). CENPARMI, in press.

Cited By

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  • (2012)A novel method for reconstructing degraded digits2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC)10.1109/ICSMC.2012.6377814(733-738)Online publication date: Oct-2012
  • (2009)Geometrical Features Based Approach for the Classification and Recognition of Handwritten CharactersProceedings of the 2009 Second International Conference in Visualisation10.1109/VIZ.2009.10(185-190)Online publication date: 15-Jul-2009
  • (2009)Simulating inertial and centripetal forces for segmentation of overlapped handwritten digits2009 IEEE International Conference on Systems, Man and Cybernetics10.1109/ICSMC.2009.5346570(143-147)Online publication date: Oct-2009

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Published In

cover image ACM Conferences
DocEng '08: Proceedings of the eighth ACM symposium on Document engineering
September 2008
312 pages
ISBN:9781605580814
DOI:10.1145/1410140
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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New York, NY, United States

Publication History

Published: 16 September 2008

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Author Tags

  1. document processing
  2. overlapping digits
  3. segmentation

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DocEng '08
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DocEng '08: ACM Symposium on Document Engineering
September 16 - 19, 2008
Sao Paulo, Brazil

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DocEng '08 Paper Acceptance Rate 21 of 62 submissions, 34%;
Overall Acceptance Rate 194 of 564 submissions, 34%

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Cited By

View all
  • (2012)A novel method for reconstructing degraded digits2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC)10.1109/ICSMC.2012.6377814(733-738)Online publication date: Oct-2012
  • (2009)Geometrical Features Based Approach for the Classification and Recognition of Handwritten CharactersProceedings of the 2009 Second International Conference in Visualisation10.1109/VIZ.2009.10(185-190)Online publication date: 15-Jul-2009
  • (2009)Simulating inertial and centripetal forces for segmentation of overlapped handwritten digits2009 IEEE International Conference on Systems, Man and Cybernetics10.1109/ICSMC.2009.5346570(143-147)Online publication date: Oct-2009

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