Proceedings ArticleDOI
Content directed enhancement of degraded document images
Sangeet Aggarwal,Sanjeev Kumar,Ritu Garg,Santanu Chaudhury +3 more
- pp 55-61
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TLDR
This paper presents a novel framework that learns optimal parameters, depending on the nature of the document image content for binarization and text/graphics segmentation, using EM algorithm.Abstract:
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.read more
Citations
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Proceedings ArticleDOI
Newspaper Article Extraction Using Hierarchical Fixed Point Model
TL;DR: A novel learning based framework to extract articles from newspaper images using a Fixed-Point Model that uses contextual information and features of each block to learn the layout of newspaper images and attains a contraction mapping to assign a unique label to every block.
Proceedings ArticleDOI
A novel local enhancement technique for rebuilding Broken characters in a degraded Kannada script
TL;DR: A novel method to rebuild the broken characters are thinned and the endpoints of the lines are obtained and the line segments are effectively rebuilt so as to preserve the degraded character.
Proceedings ArticleDOI
Automatic Selection of Parameters for Document Image Enhancement Using Image Quality Assessment
Ritu Garg,Santanu Chaudhury +1 more
TL;DR: A novel framework for automatic selection of optimal parameters for pre-processing algorithm by estimating the quality of the document image and compute parameters to maximize the expected recognition accuracy found in E-step.
Proceedings ArticleDOI
Text graphic separation in Indian newspapers
TL;DR: A novel framework for learning optimal parameters for text graphic separation in the presence of complex layouts of Indian newspaper is proposed.
References
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Journal ArticleDOI
Text segmentation using Gabor filters for automatic document processing
TL;DR: In this paper, two-dimensional Gabor filters are used to extract texture features for each text region in a given document image, and the text in the document is considered as a textured region.
Book
Text segmentation using Gabor filters for automatic document processing
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Text Extraction and Document Image Segmentation Using Matched Wavelets and MRF Model
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Book ChapterDOI
Text/Graphics Separation in Maps
Ruini Cao,Chew Lim Tan +1 more
TL;DR: Experimental results showed that the proposed method of detecting and extracting characters that are touching graphics improved the percentage of correctly detected text as well as the accuracy of character recognition significantly.