A Robust Algorithm for Text String Separation from Mixed Text/Graphics Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Text segmentation using Gabor filters for automatic document processing
Machine Vision and Applications - Special issue: document image analysis techniques
Segmentation and classification of mixed text/graphics/image documents
Pattern Recognition Letters
An Introduction to Digital Image Processing
An Introduction to Digital Image Processing
Text/Graphics Separation in Maps
GREC '01 Selected Papers from the Fourth International Workshop on Graphics Recognition Algorithms and Applications
Text/Graphics Separation Revisited
DAS '02 Proceedings of the 5th International Workshop on Document Analysis Systems V
Text/Graphic labelling of Ancient Printed Documents
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
Adaptive degraded document image binarization
Pattern Recognition
Text/Graphics Separation in Color Maps
ICCTA '07 Proceedings of the International Conference on Computing: Theory and Applications
Segmentation of Text and Graphics from Document Images
ICDAR '07 Proceedings of the Ninth International Conference on Document Analysis and Recognition - Volume 02
Curvature feature distribution based classification of Indian scripts from document images
Proceedings of the International Workshop on Multilingual OCR
Text Extraction and Document Image Segmentation Using Matched Wavelets and MRF Model
IEEE Transactions on Image Processing
Text graphic separation in Indian newspapers
Proceedings of the 4th International Workshop on Multilingual OCR
| Hi-index | 0.00 |
Most of the document pre-processing techniques are parameter dependent. In this paper, we present a novel framework that learns optimal parameters, depending on the nature of the document image content for binarization and text/graphics segmentation. The learning problem has been formulated as an optimization problem using EM algorithm to adaptively learn optimal parameters. Experimental results have established the effectiveness of our approach.