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A Line-Oriented Approach to Word Spotting in Handwritten Documents

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Abstract:

The problem of word spotting in handwritten archives is approached by matching global shape features. A set of visual templates is used to define the keyword class of interest, and initiate a search for words exhibiting high shape similarity to the model set. Major problems of segmenting cursive script into individual words are avoided by applying line-oriented processing to the document pages. The use of profile-oriented features facilitates the application of dynamic programming techniques to pattern matching, and allows us to achieve high levels of recognition performance. Results of experiments with old Spanish manuscripts show a high recognition rate of the proposed approach.

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Authors and Affiliations

  1. Electrical and Computer Engineering Department,University of Colorado at Colorado Springs, Colorado Springs, CO, , , , , , US

    A. Kolcz & J. Alspector

  2. Computer Science Department,University of Colorado at Colorado Springs, Colorado Springs, CO, , , , , , US

    M. Augusteijn

  3. Mathematics Department, University of Colorado at Colorado Springs, Colorado Springs, CO, , , , , , US

    R. Carlson

  4. Rutgers University, CAIP, Piscataway, NJ, USA, , , , , , US

    G. Viorel Popescu

Authors
  1. A. Kolcz
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  2. J. Alspector
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  3. M. Augusteijn
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  4. R. Carlson
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  5. G. Viorel Popescu
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Kolcz, A., Alspector, J., Augusteijn, M. et al. A Line-Oriented Approach to Word Spotting in Handwritten Documents. Pattern Analysis & Applications 3, 153–168 (2000). https://doi.org/10.1007/s100440070020

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  • DOI: https://doi.org/10.1007/s100440070020

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