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Investigation on a structural solution of merged characters segmentation in OCR

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Recent Issues in Pattern Analysis and Recognition

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 399))

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Abstract

One of the major remaining problems in OCR is the processing of merged characters. In this paper we describe the current state of our investigation towards the possibility of a solution which takes advantage of information available in a structural recognition system. Examples are given and some heuristic rules referring to a second level segmentation by means of curve partitioning are discussed. Finally, an OCR model involving multiple level distinction and segmentation is suggested.

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Virginio Cantoni Reiner Creutzburg Stefano Levialdi G. Wolf

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© 1989 Springer-Verlag Berlin Heidelberg

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Boccignone, G., Marcelli, A., Steensma, J. (1989). Investigation on a structural solution of merged characters segmentation in OCR. In: Cantoni, V., Creutzburg, R., Levialdi, S., Wolf, G. (eds) Recent Issues in Pattern Analysis and Recognition. Lecture Notes in Computer Science, vol 399. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-51815-0_63

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  • DOI: https://doi.org/10.1007/3-540-51815-0_63

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-51815-0

  • Online ISBN: 978-3-540-46815-8

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