Abstract
This paper presents a benchmark for evaluating the Raster to vector conversion systems. The benchmark is designed for evaluating the performance of graphics recognition systems on images that contain straight lines (solid or dashed), circles (solid or dashed), partial arcs of circles (solid or dashed), as well as, bounding boxes of text blocks within the images. This benchmark gives a scientific comparison of vectorization software and uses practical performance evaluation methods that can be applied to complete vectorization systems. Three systems were evaluated under this benchmark and their performance results are presented in this paper. We hope that this benchmark will help assess the state of the art in graphics recognition and highlight the strengths and weaknesses of current vectorization technology and evaluation methods.
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References
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Phillips, I.T., Chhabra, A.K. (1998). A benchmark for Raster to vector conversion systems. In: Amin, A., Dori, D., Pudil, P., Freeman, H. (eds) Advances in Pattern Recognition. SSPR /SPR 1998. Lecture Notes in Computer Science, vol 1451. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0033242
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DOI: https://doi.org/10.1007/BFb0033242
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