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Text extraction from colored book and journal covers

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Abstract. The automatic retrieval of indexing information from colored paper documents is a challenging problem. In order to build up bibliographic databases, editing by humans is usually necessary to provide information about title, authors and keywords. For automating the indexing process, the identification of text elements is essential. In this article an approach to automatic text extraction from colored book and journal covers is proposed. Two methods have been developed for extracting text hypotheses. The results of both methods are combined to robustly distinguish between text and non-text elements.

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Authors and Affiliations

  1. Institute of Computer Science and Applied Mathematics, University of Bern, Neubrückstrasse 10, 3012 Bern, Switzerland; e-mail: {sobottka,bunke}@iam.unibe.ch , , , , , , CH

    K. Sobottka, H. Kronenberg, T. Perroud & H. Bunke

Authors
  1. K. Sobottka
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  2. H. Kronenberg
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  3. T. Perroud
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  4. H. Bunke
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Received November 3, 1999 / Revised January 21, 2000

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Sobottka, K., Kronenberg, H., Perroud, T. et al. Text extraction from colored book and journal covers. IJDAR 2, 163–176 (2000). https://doi.org/10.1007/PL00021523

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  • DOI: https://doi.org/10.1007/PL00021523