DocumentCode
2510965
Title
The PAGE (Page Analysis and Ground-Truth Elements) Format Framework
Author
Pletschacher, S. ; Antonacopoulos, A.
Author_Institution
Pattern Recognition & Image Anal. (PRImA) Res. Lab., Univ. of Salford, Salford, UK
fYear
2010
fDate
23-26 Aug. 2010
Firstpage
257
Lastpage
260
Abstract
There is a plethora of established and proposed document representation formats but none that can adequately support individual stages within an entire sequence of document image analysis methods (from document image enhancement to layout analysis to OCR) and their evaluation. This paper describes PAGE, a new XML-based page image representation framework that records information on image characteristics (image borders, geometric distortions and corresponding corrections, binarisation etc.) in addition to layout structure and page content. The suitability of the framework to the evaluation of entire workflows as well as individual stages has been extensively validated by using it in high-profile applications such as in public contemporary and historical ground-truthed datasets and in the ICDAR Page Segmentation competition series.
Keywords
document image processing; image enhancement; image representation; image segmentation; optical character recognition; ICDAR page segmentation competition series; OCR; PAGE; XML-based page image representation framework; binarisation; corresponding corrections; document image analysis; document image enhancement; document representation formats; format framework; geometric distortions; ground-truth elements; image borders; image characteristics; layout analysis; page analysis; Joining processes; Layout; Optical character recognition software; Performance evaluation; Pipelines; Text analysis; XML; Document Analysis; Page Representation Formats; Performance Evaluation;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition (ICPR), 2010 20th International Conference on
Conference_Location
Istanbul
ISSN
1051-4651
Print_ISBN
978-1-4244-7542-1
Type
conf
DOI
10.1109/ICPR.2010.72
Filename
5597587
Link To Document