Segmentation of Very Low Resolution Screen-Rendered Text

  • Authors:
  • S. Wachenfeld;S. Fleischer;H.-U. Klein;X. Jiang

  • Affiliations:
  • University of Muenster, Germany;University of Muenster, Germany;University of Muenster, Germany;University of Muenster, Germany

  • Venue:
  • ICDAR '07 Proceedings of the Ninth International Conference on Document Analysis and Recognition - Volume 02
  • Year:
  • 2007

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Abstract

The lower the resolution of a given text is, the more dif- ficult it becomes to segment it into single characters. The resolution of screen-rendered text can be very low. This pa- per focuses on smoothed screen-rendered text of very low resolution with typical x-heights of 4 to 7 pixels which is much lower than in other low resolution OCR situations. We propose a recognition-based segmentation algorithm which makes use of oversegmentation by dynamic programming, candidate rating by single character classifiers and a graph based search algorithm for an optimal cut sequence. The al- gorithm is described in detail and experimental results are presented which show the performance on example screen- shot images taken from the public Screen-Word database.