An adaptive technique for global and local skew correction in color documents

Authors:
Michael Makridis;Nikos Nikolaou;Nikos Papamarkos
Affiliations:
Image Processing and Multimedia Laboratory, Department of Electrical and Computer Engineering, Democritus University of Thrace, 67100 Xanthi, Greece;Image Processing and Multimedia Laboratory, Department of Electrical and Computer Engineering, Democritus University of Thrace, 67100 Xanthi, Greece;Image Processing and Multimedia Laboratory, Department of Electrical and Computer Engineering, Democritus University of Thrace, 67100 Xanthi, Greece
Venue:
Expert Systems with Applications: An International Journal
Year:
2010

Citing 12
Cited 1

Automated entry system for printed documents

Pattern Recognition
Skew correction of document images using interline cross-correlation

CVGIP: Graphical Models and Image Processing
Mean Shift: A Robust Approach Toward Feature Space Analysis

IEEE Transactions on Pattern Analysis and Machine Intelligence
The Document Spectrum for Page Layout Analysis

IEEE Transactions on Pattern Analysis and Machine Intelligence
Mean Shift, Mode Seeking, and Clustering

IEEE Transactions on Pattern Analysis and Machine Intelligence
A new algorithm for skew detection and correction

Pattern Recognition Letters
A novel boundary growing approach for accurate skew estimation of binary document images

Pattern Recognition Letters
Skew Detection in Binary Image Documents Based on Image Dilation and Region labeling Approach

ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 02
Hough transform based fast skew detection and accurate skew correction methods

Pattern Recognition
The estimation of the gradient of a density function, with applications in pattern recognition

IEEE Transactions on Information Theory
A method of detecting the orientation of aligned components

Pattern Recognition Letters
Robust detection of skew in document images

IEEE Transactions on Image Processing

Display text segmentation after learning best-fitted OCR binarization parameters

Expert Systems with Applications: An International Journal

Quantified Score

Hi-index	12.05

Visualization

Abstract

In this paper, a new technique is proposed for global and local skew detection in complex color documents. The proposed technique, which can be applied also to grayscale and binary documents, consists of four main stages; color reduction, text localization, document binarization and skew correction. Color reduction limits the initial number of colors to a small number, usually smaller than 10 colors. Thus, the original documents are decomposed in homogenous regions. Text localization initially divides the document into a number of binary planes (color planes) equal to the number of the reduced colors. Then, connected component analysis is performed and text is extracted according to similarity features between adjacent connected components. In the third stage the binary document is composed by the processed binary planes. Finally, skew correction is achieved by detecting the direction of connection of the connected components in the binary images. The proposed technique has been extensively tested with two databases, one with complex scanned color cover books and another with grayscale scanned newspapers taken from the database of the university of Oulu. Experimental results are provided and prove the effectiveness of the proposed technique.