CSDL Home IEEE Transactions on Pattern Analysis & Machine Intelligence 1999 vol.21 Issue No.09 - September
Issue No.09 - September (1999 vol.21)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/34.790427
<p><b>Abstract</b>—This paper presents a methodology for evaluating graphics recognition systems operating on images that contain straight lines, circles, circular arcs, and text blocks. It enables an empirical comparison of vectorization software packages and uses practical performance evaluation methods that can be applied to complete vectorization systems. The methodology includes a set of matching criteria for pairs of graphical entities, a set of performance evaluation metrics, and a benchmark for the evaluation of graphics recognition systems. The benchmark was tested on three systems. The results are reported and analyzed in this paper.</p>
Empirical evaluation, benchmark, graphics recognition, engineering-drawing.
Ihsin T. Phillips, Atul K. Chhabra, "Empirical Performance Evaluation of Graphics Recognition Systems", IEEE Transactions on Pattern Analysis & Machine Intelligence, vol.21, no. 9, pp. 849-870, September 1999, doi:10.1109/34.790427