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An entropy based method for extracting robust binary-templates

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Abstract

In applications based on template matching, the design of the template is a critical point and has a considerable effect on the overall performance that can be obtained. In this paper we present a method, applicable to binary images, for extracting robust templates. Starting from a provisional prototype (defined as the image that minimizes its overall distance from the samples of a training set), the template is obtained by eliminating unreliable pixels determined by means of an entropy-based criterion. The method is compared experimentally with the matched filtering technique in the recognition of symbols on topographic maps and shows promising results regarding the recognition rate and the computational cost of the matching process.

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Authors and Affiliations

  1. Department of Computer and Systems Engineering, University of Naples ‘Federico II”, Via Claudio 21, 1-80125, Naples, Italy

    Claudio De Stefano, Francesco Tortorella & Mario Vento

Authors
  1. Claudio De Stefano
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  2. Francesco Tortorella
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  3. Mario Vento
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Corresponding author

Correspondence to Mario Vento.

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Stefano, C.D., Tortorella, F. & Vento, M. An entropy based method for extracting robust binary-templates. Machine Vis. Apps. 8, 173–178 (1995). https://doi.org/10.1007/BF01215812

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  • DOI: https://doi.org/10.1007/BF01215812

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