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A Survey of Sequential Combination of Word Recognizers in Handwritten Phrase Recognition at CEDAR

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Multiple Classifier Systems (MCS 2000)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1857))

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Abstract

Several methods for classifier combination have been explored at CEDAR. A sequential method for combining word recognizers in handwritten phrase recognition is revisited. The approach is to take phrase images as concatenations of the constituent words and submit them to multiple recognizers. An improvement of this method takes advantage of the spacing between words in a phrase. We describe the improvements to the overall system as a consequence of the second approach.

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References

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Authors and Affiliations

  1. Center of Excellence for Document Analysis and Recognition (CEDAR), State University of New York, Buffalo, USA

    Sargur Srihari

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  1. Sargur Srihari
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© 2000 Springer-Verlag Berlin Heidelberg

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Srihari, S. (2000). A Survey of Sequential Combination of Word Recognizers in Handwritten Phrase Recognition at CEDAR. In: Multiple Classifier Systems. MCS 2000. Lecture Notes in Computer Science, vol 1857. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45014-9_4

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  • DOI: https://doi.org/10.1007/3-540-45014-9_4

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-67704-8

  • Online ISBN: 978-3-540-45014-6

  • eBook Packages: Springer Book Archive

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