Paper
3 April 1997 Performance evaluation for line-drawing recognition systems
Ihsin T. Phillips, Frank Chang, Kevin Chang, Bhavani Duggirala, Mike Logan, Joe Loughry, Jisheng Liang
Author Affiliations +
Proceedings Volume 3027, Document Recognition IV; (1997) https://doi.org/10.1117/12.270066
Event: Electronic Imaging '97, 1997, San Jose, CA, United States
Abstract
In this paper, we discuss a performance evaluator for line- drawing recognition systems on images that contain binary digital logic schematic diagrams, a restricted subclass of engineering line drawings. The evaluator accepts inputs of IGES files containing IGES primitives of straight lines, circles, partial arcs of circles, and IGES label block objects. Our evaluator takes two IGES files. One of these files is the recognition algorithm's output and the other IGES file is the corresponding ground truth. The first step of processing involves parsing each IGES file and extracting IGES entities and the parameter information according to the IGES file format specification. The evaluator performs the evaluation for each pair of entities within these two files based on their types and the matching protocols and matching criteria defined in this paper. The results of our evaluator is a table of numbers which when weighted by application specific weights can be summed to produce an overall score relevant to the application.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ihsin T. Phillips, Frank Chang, Kevin Chang, Bhavani Duggirala, Mike Logan, Joe Loughry, and Jisheng Liang "Performance evaluation for line-drawing recognition systems", Proc. SPIE 3027, Document Recognition IV, (3 April 1997); https://doi.org/10.1117/12.270066
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KEYWORDS
Detection and tracking algorithms

Logic

Binary data

Algorithm development

Tantalum

Visualization

Computing systems

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