Skip to main content

Research Repository

Advanced Search

Document representation refinement for precise region description

Clausner, C; Pletschacher, S; Antonacopoulos, A

Authors



Contributors

KU Schulz
Editor

Abstract

Precise description of layout entities (content regions on a page) is crucial for all but the most trivial document analysis and recognition applications. The output of layout analysis methods and state-of-the-art OCR systems varies significantly, from bounding boxes (e.g. Tesseract) to stacks of text line rectangles (e.g. ABBYY FineReader). There is a clear need for a consistent and accurate representation of regions (e.g. text paragraphs, graphics entities etc.) for further processing, correction and performance evaluation (comparison of segmentation results with ground truth regions). This paper describes a method for refinement of document representations by fitting polygons around lower-level layout objects (such as text lines, words and glyphs) in a systematic way that reconstructs region outlines and preserves the fine details of complex layouts. Experimental results on a standard dataset demonstrate the validity and usefulness of the proposed approach.

Citation

Clausner, C., Pletschacher, S., & Antonacopoulos, A. (2014). Document representation refinement for precise region description. In A. Antonacopoulos, & K. Schulz (Eds.), DATeCH '14: Proceedings of the First International Conference on Digital Access to Textual Cultural Heritage. https://doi.org/10.1145/2595188.2595198

Conference Name DATeCH 2014: Digital Access to Textual Cultural Heritage 2014
Conference Location Madrid, Spain
Start Date May 19, 2014
End Date May 20, 2014
Publication Date May 19, 2014
Deposit Date Jan 28, 2015
Book Title DATeCH '14: Proceedings of the First International Conference on Digital Access to Textual Cultural Heritage
ISBN 9781450325882
DOI https://doi.org/10.1145/2595188.2595198
Publisher URL http://dx.doi.org/10.1145/2595188.2595198
Related Public URLs http://dl.acm.org/dl.cfm?CFID=473908569&CFTOKEN=68594310