DocumentCode :
3695100
Title :
Goal-Oriented Performance Evaluation Methodology for Page Segmentation Techniques
Author :
Nikolaos Stamatopoulos;Georgios Louloudis;Basilis Gatos
Author_Institution :
Computational Intelligence Laboratory, Institute of Informatics and Telecommunications, National Center for Scientific Research “
fYear :
2015
Firstpage :
281
Lastpage :
285
Abstract :
Document image segmentation is a fundamental step in the document image analysis pipeline as it affects the accuracy of subsequent processing steps. An objective and realistic evaluation of page segmentation techniques is crucial for a quantitative comparison among them. In this paper, a goal-oriented performance evaluation methodology that calculates a comprehensive evaluation measure SR (Success Rate) is presented. SR measure reflects the entire performance of a page segmentation technique in a concise quantitative manner. It is a pixel-based approach which avoids the dependence on a strictly defined ground-truth. The proposed evaluation measure SR deals only with text regions and is correlated with the percentage of the text information in which the subsequent processing (e.g. text line segmentation and recognition) can be applied successfully.
Keywords :
"Image segmentation","Image recognition"
Publisher :
ieee
Conference_Titel :
Document Analysis and Recognition (ICDAR), 2015 13th International Conference on
Type :
conf
DOI :
10.1109/ICDAR.2015.7333768
Filename :
7333768
Link To Document :
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