Abstract book (pdf) - ICPR 2010

15:50-16:10, Paper MoBT6.2
Document Segmentation using Pixel-Accurate Ground Truth
An, Chang, Lehigh Univ.
Yin, Dawei, Lehigh Univ.
Baird, Henry, Lehigh Univ.
We compare methodologies for trainable document image content extraction, using a variety of ground-truth policies:
loose, tight, and pixel-accurate. The goal is to achieve pixel-accurate segmentation of document images. Which groundtruth
policy is the best has been debated. ``Loose’’ truth is obtained by sweeping rectangles to enclose entire text blocks
etc, and can be an efficient manual task. ``Tight’’ truth requires more care, and more time, to enclose individual text lines.
Pixel-accurate truth, in which only foreground pixels are labeled, can be obtained by applying the PARC PixLabeler tool;
in our experience this tool was as quick to use as loose truthing. We have compared the accuracy of all three truthing policies,
and report that tight truth supports higher accuracy than loose truth, and pixel-accurate truth yields the highest accuracy.
We have also experimented on morphological expansions on pixel-accurate truth, by expanding sets of foreground
pixels morphologically, and report that expanded pixel-accurate truth supports higher accuracy than pixel-accurate truth.
16:10-16:30, Paper MoBT6.3
An Adaptive Script-Independent Block-Based Text Line Extraction
Ziaratban, Majid, Amirkabir Univ. of Technology
Faez, Karim, Amirkabir Univ. of Technology
In this paper, a novel script-independent block-based text line extraction technique is proposed for multi-skewed document
images. Three parameters are defined to adopt the method with various writings. Extensive experiments on different
datasets demonstrate that the proposed algorithm outperforms previous methods.
16:30-16:50, Paper MoBT6.4
Automated Quality Assurance for Document Logical Analysis
Meunier, Jean-Luc, XRCE
We consider here the general problem of converting documents available in print-ready or image format into a structured
format that reflects the logical structure of the document. One aspect of the problem involves reconstructing conventional
constructs such as titles, headings, captions, footnotes, etc. In practice, another important aspect involves putting in place
some automated Quality Assessment (QA) method. We propose here a method to automate the QA in the case of a homogeneous
collection by considering multiple documents at once instead of focusing only on the document being processed.
16:50-17:10, Paper MoBT6.5
The PAGE (Page Analysis and Ground-Truth Elements) Format Framework
Pletschacher, Stefan, Univ. of Salford
Antonacopoulos, Apostolos, Univ. of Salford
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.
MoBT7 Dolmabahçe Hall C
Computer Aided Detection and Diagnosis Regular Session
Session chair: Unal, Gozde (Sabanci Univ.)
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