On Foreground-Background Separation in Low Quality Color Document Images

Authors:
Utpal x. Utpal Garain;Thierry Paquet;Laurent Heutte
Affiliations:
Indian Statistical Institute, Kolkata, India;UFR des Sciences, University of Rouen, France;UFR des Sciences, University of Rouen, France
Venue:
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
Year:
2005

Citing 3
Cited 2

Locating and Recognizing Text in WWW Images

Information Retrieval
Text Extraction from Color Documents - Clustering Approaches in Three and Four Dimensions

ICDAR '01 Proceedings of the Sixth International Conference on Document Analysis and Recognition
Decompose-Threshold Approach to Handwriting Extraction in Degraded Historical Document Images

IWFHR '04 Proceedings of the Ninth International Workshop on Frontiers in Handwriting Recognition

A methodology for the separation of foreground/background in Arabic historical manuscripts using hybrid methods

Proceedings of the 2007 ACM symposium on Applied computing
A concept for the separation of foreground/ background in arabic historical manuscripts using hybrid methods

VAST'06 Proceedings of the 7th International conference on Virtual Reality, Archaeology and Intelligent Cultural Heritage

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper proposes an adaptive method for separation of foreground and background in low quality color document images. A connected component labelling is initially implemented to capture the spatially connected similar color pixels. Next, dominant background components are determined to divide the entire image is into number of grids each representing local uniformity in illumination, background, etc. Finally foreground parts are located using local information around them. Several color images of old historical documents including manuscripts of high importance are used in the experiment. Apart from a qualitative evaluation, results are quantitatively compared with one popular foreground/background separation technique.