Empirical performance evaluation of graphics recognition systems

Author

Phillips, Ihsin T. ; Chhabra, Atul K.

Author_Institution

Dept. of Comput. Sci., Seattle Univ., WA, USA

Volume

21

Issue

9

fYear

1999

fDate

9/1/1999 12:00:00 AM

Firstpage

849

Lastpage

870

Abstract

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 the paper

Keywords

document image processing; engineering graphics; image matching; image recognition; software packages; software performance evaluation; circles; circular arcs; empirical performance evaluation; graphical entities; graphics recognition systems; matching criteria; straight lines; text blocks; vectorization software packages; Benchmark testing; Computer graphics; Design engineering; Engineering drawings; Image recognition; Measurement; Prototypes; Software packages; System testing; Text recognition;

fLanguage

English

Journal_Title

Pattern Analysis and Machine Intelligence, IEEE Transactions on

Publisher

ieee

ISSN

0162-8828

Type

jour

DOI

10.1109/34.790427

Filename

790427