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Edge Detection In Document Analysis

Author

Listed:
  • Mihai Zaharescu

    (Department of Computer Science and Engineering, Faculty of Automatic Control and Computers Science, University “Politehnica” of Bucharest, Splaiul Independenţei 313, Bucharest, 060042, Romania)

  • Ionuţ Cosmin Petrescu

    (Department of Computer Science and Engineering, Faculty of Automatic Control and Computers Science, University “Politehnica” of Bucharest, Splaiul Independenţei 313, Bucharest, 060042, Romania)

Abstract

The significant improvements in edge detection, vectorization, contour specification, and skeleton extraction that were made in the past years should be included in the document analysis pipeline. We discuss the general OCR system, introduce an edge detection specialized for characters, present a geometrical based preprocessing pipeline and open the door for further research in the communication of the OCR with the preprocessing stage.

Suggested Citation

  • Mihai Zaharescu & Ionuţ Cosmin Petrescu, 2013. "Edge Detection In Document Analysis," Romanian Economic Business Review, Romanian-American University, vol. 7(1), pages 156-165, May.
    • Handle: RePEc:rau:journl:v:7:y:2013:i:1:p:156-165
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    File URL: http://www.rebe.rau.ro/RePEc/rau/jisomg/SU13/JISOM-SU13-A15.pdf
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    Citations

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    Cited by:

    1. Stefan Nicolae Tica & Costin-Anton Boiangiu & Ion Bucur, 2015. "Metallic Coin Analyzer System For Automatic Identification And Classification," Romanian Economic Business Review, Romanian-American University, vol. 9(2), pages 291-308, December.

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