Journal ArticleDOI
Adaptive degraded document image binarization
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TLDR
The proposed method does not require any parameter tuning by the user and can deal with degradations which occur due to shadows, non-uniform illumination, low contrast, large signal-dependent noise, smear and strain.About:
This article is published in Pattern Recognition.The article was published on 2006-03-01. It has received 585 citations till now. The article focuses on the topics: Thresholding & Wiener filter.read more
Citations
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Proceedings ArticleDOI
A Non-parametric Framework for Document Bleed-through Removal
TL;DR: A new framework for non-blind document bleed-through removal is presented, which includes image preprocessing to remove local intensity variations, pixel region classification based on a segmentation of the joint recto-verso intensity histogram and connected component analysis on the subsequent image labelling.
Book ChapterDOI
COCO_TS Dataset: Pixel–Level Annotations Based on Weak Supervision for Scene Text Segmentation
TL;DR: A weakly supervised learning approach is used to reduce the shift between training on real and synthetic data, and Pixel–level supervisions for a text detection dataset (i.e. where only bounding–box annotations are available) are generated.
Journal ArticleDOI
An MRF model for binarization of music scores with complex background
TL;DR: A Gaussian Mixture Markov Random Field (GMMRF) model is presented that is effective for the binarization of music score images with complex backgrounds and shows promising results compared to existing methods.
Journal Article
Adaptive Document Image Binarization with Application in Processing Astronomical Logbooks
TL;DR: In this paper document image binarization is considered since it is a critical stage for the subsequent steps in an OCR software system and a specific method is proposed which outmatches the state-of-the-art techniques in the case of the images of interest.
Modeling Adaptive Degraded Document Image Binarization and Optical Character System
TL;DR: Different interpolation techniques are used in the final step to achieve better quality binary image which yield to elimination noises, improve the quality of the text regions and preserve stroke connectivity by filling possible breaks, gaps or holes.
References
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Journal Article
Binary codes capable of correcting deletions, insertions, and reversals
Book
Fundamentals of digital image processing
TL;DR: This chapter discusses two Dimensional Systems and Mathematical Preliminaries and their applications in Image Analysis and Computer Vision, as well as image reconstruction from Projections and image enhancement.
Journal ArticleDOI
Survey over image thresholding techniques and quantitative performance evaluation
Mehmet Sezgin,Bulent Sankur +1 more
TL;DR: 40 selected thresholding methods from various categories are compared in the context of nondestructive testing applications as well as for document images, and the thresholding algorithms that perform uniformly better over nonde- structive testing and document image applications are identified.