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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Survey on Restoration of Degraded Document using Different Thresholding Techniques
Jensiya Asirvatham,Akila Agnes +1 more
TL;DR: Comparative study on some local adaptive thresholding methods such as niblack, sauvola, wolf and feng are done and its quality over different images is measured in terms of PSNR and correlation.
Posted Content
Automatic Document Image Binarization.
TL;DR: An automatic document image binarization algorithm to segment the text from heavily degraded document images by using a two band-pass filtering approach for background noise removal, and Bayesian optimization for automatic hyperparameter selection for optimal results.
An advanced, robust binarization and character recognition in document images based on raspberry pi
Anitta Vincent,Gincy Varghese +1 more
TL;DR: This work proposes a robust system for binarization and character recognition of deteriorated document images using a modified adaptive image contrast based method and is implemented on a low cost minicomputer board named Raspberry Pi.
Patent
Method and system for product recognition
TL;DR: In this article, a method of product recognition is proposed, comprising decomposing a product image of into a set of frequency components, performing a frequency analysis for each frequency component in the set of frequencies, detecting a plurality of edge pixels of the image based on the frequency analysis, selecting a set interested pixels in the region of each of the edge pixels, creating a quantized product image, and creating a normalized histogram of the quantized image using the sets of interested pixels selected for each edge pixels.
Journal ArticleDOI
Comparative Performance Analysis of Enhancement Methods Applied to Arabic Manuscripts
TL;DR: The ancient Arabic manuscripts are considered to be more complex regarding enhancement compared to others written in other languages.
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.