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10.5555/839278.840184guideproceedingsArticle/Chapter ViewAbstractPublication PagesConference Proceedingsacm-pubtype
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Segmentation of numeric strings

Published: 14 August 1995 Publication History

Abstract

This paper presents a complete procedure for the segmentation of handwritten numeric strings. The procedure uses an hypothesis-then-verification strategy in which multiple segmentation algorithms based on contiguous row partition work sequentially on the binary image until an acceptable segmentation is obtained. At this purpose a new set of algorithms simulating a "drop falling" process is introduced. The experimental tests demonstrate the effectiveness of the new algorithms in obtaining high-confidence segmentation hypotheses.

Cited By

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  • (2017)Segmentation and recognition system for unknown-length handwritten digit stringsPattern Analysis & Applications10.1007/s10044-017-0607-x20:2(307-323)Online publication date: 1-May-2017
  • (2011)Segmentation strategy of handwritten connected digits (SSHCD)Proceedings of the 16th international conference on Image analysis and processing - Volume Part II10.5555/2042703.2042731(248-254)Online publication date: 14-Sep-2011
  • (2009)Simulating inertial and centripetal forces for segmentation of overlapped handwritten digitsProceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics10.5555/1732323.1732348(143-147)Online publication date: 11-Oct-2009
  • Show More Cited By

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Information

Published In

cover image Guide Proceedings
ICDAR '95: Proceedings of the Third International Conference on Document Analysis and Recognition (Volume 2) - Volume 2
August 1995
ISBN:0818671289

Publisher

IEEE Computer Society

United States

Publication History

Published: 14 August 1995

Author Tags

  1. character recognition
  2. handwritten numeric strings
  3. high-confidence segmentation hypotheses
  4. hypothesis-then-verification strategy
  5. image segmentation
  6. multiple segmentation algorithms
  7. numeric strings segmentation

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Cited By

View all
  • (2017)Segmentation and recognition system for unknown-length handwritten digit stringsPattern Analysis & Applications10.1007/s10044-017-0607-x20:2(307-323)Online publication date: 1-May-2017
  • (2011)Segmentation strategy of handwritten connected digits (SSHCD)Proceedings of the 16th international conference on Image analysis and processing - Volume Part II10.5555/2042703.2042731(248-254)Online publication date: 14-Sep-2011
  • (2009)Simulating inertial and centripetal forces for segmentation of overlapped handwritten digitsProceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics10.5555/1732323.1732348(143-147)Online publication date: 11-Oct-2009
  • (2008)Segmentation of overlapping cursive handwritten digitsProceedings of the eighth ACM symposium on Document engineering10.1145/1410140.1410199(271-274)Online publication date: 16-Sep-2008
  • (2008)A system for processing handwritten bank checks automaticallyImage and Vision Computing10.1016/j.imavis.2006.04.01226:10(1297-1313)Online publication date: 1-Oct-2008
  • (2006)Segmentation-Driven recognition applied to numerical field extraction from handwritten incoming mail documentsProceedings of the 7th international conference on Document Analysis Systems10.1007/11669487_50(564-575)Online publication date: 13-Feb-2006
  • (2005)Segmentation of Connected Chinese Characters Based on Genetic AlgorithmProceedings of the Eighth International Conference on Document Analysis and Recognition10.1109/ICDAR.2005.209(645-649)Online publication date: 31-Aug-2005
  • (2005)Independent Component Analysis Segmentation AlgorithmProceedings of the Eighth International Conference on Document Analysis and Recognition10.1109/ICDAR.2005.140(680-684)Online publication date: 31-Aug-2005
  • (2003)An approach for locating segmentation points of handwritten digit strings using a neural networkProceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 110.5555/938979.939298Online publication date: 3-Aug-2003
  • (2003)Bank-check Processing SystemProceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 110.5555/938979.939230Online publication date: 3-Aug-2003

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