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GREC’09 Arc Segmentation Contest: Performance Evaluation on Old Documents

  • Hasan S. M. Al-Khaffaf
  • Abdullah Z. Talib
  • Mohd Azam Osman
  • Poh Lee Wong
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6020)

Abstract

Empirical performance evaluation of raster to vector methods is an important topic in the area of graphics recognition. By studying automatic vectorization methods we can reveal the maturity of the tested methods whether as a research prototype or a commercial software. Arc Segmentation Contest held in conjunction with the eighth IAPR International Workshop on Graphics Recognition (GREC’09) is an excellent opportunity for researchers to present the results of their proposed raster to vector methods. The contest provides a uniform platform where the output of different methods can be analyzed. The relevance of the contest is further revealed by the creation of new test images with their ground truth data. Old documents were used in this contest. Five methods participated (two research prototypes and three commercial software). Two tests were performed namely between-methods test (participated by all methods) and within-method test (participated by only one method). This paper presents the results of the contest.

Keywords

Performance Evaluation Graphics Recognition Raster to Vector Conversion Methods Line Drawings 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Hasan S. M. Al-Khaffaf
    • 1
  • Abdullah Z. Talib
    • 1
  • Mohd Azam Osman
    • 1
  • Poh Lee Wong
    • 1
  1. 1.School of Computer SciencesUniversiti Sains MalaysiaUSM PenangMalaysia

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