Paper Info
Title
The PAGE (Page Analysis and Ground-Truth Elements) Format Framework
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.
Year
DOI
Venue
2010
10.1109/ICPR.2010.72
Pattern Recognition
Keywords
Field
DocType
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,Document Analysis,Page Representation Formats,Performance Evaluation
Computer vision,Information retrieval,XML,Computer science,Segmentation,Image representation,Optical character recognition,Document representation,Image segmentation,Ground truth,Artificial intelligence,Workflow
Conference
ISSN
ISBN
Citations 
1051-4651
978-1-4244-7542-1
55
PageRank 
References 
Authors
3.29
8
2
Name
Order
Citations
PageRank
stefan pletschacher121620.78
Apostolos Antonacopoulos237836.45