An optimal algorithm for finding segments intersections
Proceedings of the eleventh annual symposium on Computational geometry
A Proposed Scheme for Performance Evaluation of Graphics/Text Separation Algorithms
GREC '97 Selected Papers from the Second International Workshop on Graphics Recognition, Algorithms and Systems
Representations and Metrics for Off-Line Handwriting Segmentation
IWFHR '02 Proceedings of the Eighth International Workshop on Frontiers in Handwriting Recognition (IWFHR'02)
Toward Objective Evaluation of Image Segmentation Algorithms
IEEE Transactions on Pattern Analysis and Machine Intelligence
Performance Characterization of Shape Descriptors for Symbol Representation
Graphics Recognition. Recent Advances and New Opportunities
Building Synthetic Graphical Documents for Performance Evaluation
Graphics Recognition. Recent Advances and New Opportunities
Performance Evaluation of Symbol Recognition and Spotting Systems: An Overview
DAS '08 Proceedings of the 2008 The Eighth IAPR International Workshop on Document Analysis Systems
International Journal on Document Analysis and Recognition
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In this paper we present an algorithm for performance characterization of symbol localization systems. This algorithm is aimed to be a more "reliable" and "open" solution to characterize the performance. To achieve that, it exploits only single points as the result of localization and offers the possibility to reconsider the localization results provided by a system. We use the information about context in groundtruth, and overall localization results, to detect the ambiguous localization results. A probability score is computed for each matching between a localization point and a groundtruth region, depending on the spatial distribution of the other regions in the groundtruth. Final characterization is given with detection rate/probability score plots, describing the sets of possible interpretations of the localization results, according to a given confidence rate. We present experimentation details along with the results for the symbol localization system of [1], exploiting a synthetic dataset of architectural floorplans and electrical diagrams (composed of 200 images and 3861 symbols).