loading
Papers

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Louisa Kessi ; Frank Lebourgeois ; Christophe Garcia and Jean Duong

Affiliation: Université de Lyon and LIRIS, France

ISBN: 978-989-758-089-5

Keyword(s): Document Image Analysis, Color Processing, Business Document, Mathematical Morphology, Color Morphology.

Related Ontology Subjects/Areas/Topics: Applications and Services ; Color and Texture Analyses ; Computer Vision, Visualization and Computer Graphics ; Document Imaging in Business ; Image and Video Analysis ; Image Formation and Preprocessing ; Image Formation, Acquisition Devices and Sensors

Abstract: This paper presents the first fully automatic color analysis system suited for business documents. Our pixel-based approach uses mainly color morphology and does not require any training, manual assistance, prior knowledge or model. We developed a robust color segmentation system adapted for invoices and forms with significant color complexity and dithered background. The system achieves several operations to segment automatically color images, separate text from noise and graphics and provides color information about text color. The contribution of our work is Tree-fold. Firstly, it is the usage of color morphology to simultaneously segment both text and inverted text. Our system processes inverted and non-inverted text automatically using conditional color dilation and erosion, even in cases where there are overlaps between the two. Secondly, it is the extraction of geodesic measures using morphological convolution in order to separate text, noise and graphical elements. Th irdly, we develop a method to disconnect characters touching or overlapping graphical elements. Our system can separate characters that touch straight lines, split overlapped characters with different colors and separate characters from graphics if they have different colors. A color analysis stage automatically calculates the number of character colors. The proposed system is generic enough to process a wide range of images of digitized business documents from different origins. It outperforms the classical approach that uses binarization of greyscale images. (More)

PDF ImageFull Text

Download
CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.234.214.179

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Kessi, L.; Lebourgeois, F.; Garcia, C. and Duong, J. (2015). AColDPS - Robust and Unsupervised Automatic Color Document Processing System.In Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2015) ISBN 978-989-758-089-5, pages 174-185. DOI: 10.5220/0005315801740185

@conference{visapp15,
author={Louisa Kessi. and Frank Lebourgeois. and Christophe Garcia. and Jean Duong.},
title={AColDPS - Robust and Unsupervised Automatic Color Document Processing System},
booktitle={Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2015)},
year={2015},
pages={174-185},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005315801740185},
isbn={978-989-758-089-5},
}

TY - CONF

JO - Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2015)
TI - AColDPS - Robust and Unsupervised Automatic Color Document Processing System
SN - 978-989-758-089-5
AU - Kessi, L.
AU - Lebourgeois, F.
AU - Garcia, C.
AU - Duong, J.
PY - 2015
SP - 174
EP - 185
DO - 10.5220/0005315801740185

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.