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A Prototype for adaptive association of street names with streets on maps

  • Applications and Systems
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Graphics Recognition Algorithms and Systems (GREC 1997)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1389))

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Abstract

We present work in progress on the development of a partially-automated system for interpretation of map images. The principal aim of our project is to demonstrate that an adaptive system can decrease operator intervention with increasing conversion volume. The extracted information is evaluated against an established database. The current level of automation yields a 35% saving in operator time over manual entry. A further 30% appears achievable with known techniques.

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Author information

Authors and Affiliations

  1. Rensselaer Polytechnic Institute, 12180, Troy, NY, USA

    G. Nagy, K. Kalafala, P. Sarkar, S. Sivasubramaniam & Y. Xu

  2. University of Nebraska, 68502, Lincoln, NE, USA

    A. Samal, S. Seth, T. Fisher, E. Guthmann & L. Li

Authors
  1. G. Nagy
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  2. A. Samal
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  3. S. Seth
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  4. T. Fisher
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  5. E. Guthmann
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  6. K. Kalafala
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  7. L. Li
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  8. P. Sarkar
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  9. S. Sivasubramaniam
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  10. Y. Xu
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Editor information

Karl Tombre Atul K. Chhabra

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© 1998 Springer-Verlag Berlin Heidelberg

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Nagy, G. et al. (1998). A Prototype for adaptive association of street names with streets on maps. In: Tombre, K., Chhabra, A.K. (eds) Graphics Recognition Algorithms and Systems. GREC 1997. Lecture Notes in Computer Science, vol 1389. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-64381-8_58

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  • DOI: https://doi.org/10.1007/3-540-64381-8_58

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-64381-4

  • Online ISBN: 978-3-540-69766-4

  • eBook Packages: Springer Book Archive

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