Journal ArticleDOI
Adaptive document image binarization
Jaakko Sauvola,Matti Pietikäinen +1 more
TLDR
A new method is presented for adaptive document image binarization, where the page is considered as a collection of subcomponents such as text, background and picture, which adapts and performs well in each case qualitatively and quantitatively.About:
This article is published in Pattern Recognition.The article was published on 2000-02-01. It has received 2120 citations till now. The article focuses on the topics: Noise (video).read more
Citations
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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.
Journal ArticleDOI
Adaptive Thresholding using the Integral Image
Derek Bradley,Gerhard Roth +1 more
TL;DR: This work presents a technique for real-time adaptive thresholding using the integral image of the input, an extension of a previous method that is more robust to illumination changes in the image.
Journal ArticleDOI
A License Plate-Recognition Algorithm for Intelligent Transportation System Applications
Christos-Nikolaos Anagnostopoulos,Ioannis Anagnostopoulos,Vassili Loumos,Eleftherios Kayafas +3 more
TL;DR: A review in the related literature presented in this paper reveals that better performance has been reported, when limitations in distance, angle of view, illumination conditions are set, and background complexity is low.
Journal ArticleDOI
Adaptive degraded document image binarization
TL;DR: 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.
Journal ArticleDOI
License Plate Recognition From Still Images and Video Sequences: A Survey
Christos-Nikolaos Anagnostopoulos,Ioannis Anagnostopoulos,I. D. Psoroulas,Vassili Loumos,Eleftherios Kayafas +4 more
TL;DR: This paper offers to researchers a link to a public image database to define a common reference point for LPR algorithmic assessment and issues such as processing time, computational power, and recognition rate are addressed.
References
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Journal ArticleDOI
Goal-directed evaluation of binarization methods
O.D. Trier,Anil K. Jain +1 more
TL;DR: This paper presents a methodology for evaluation of low-level image analysis methods, using binarization (two-level thresholding) as an example, and defines the performance of the character recognition module as the objective measure.
Book ChapterDOI
Document image defect models
TL;DR: Work-in-progress towards a parameterized model of local imaging defects is described, together with a variety of motivating theoretical arguments and empirical evidence, and a pseudo-random image generator implementing the model has been built.
Journal ArticleDOI
A new method for image segmentation
TL;DR: A new method for image segmentation via adaptive thresholding is presented, where the threshold surface is determined by interpolating the image gray levels at points where the gradient is high, indicating probable object edges.
Book
Introduction to image processing
TL;DR: The image as an analogue signal, scanning of an image by an aperture, and extension of the aperture notion are illustrated.