document image binarization
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document image binarization




A robust document image binarization technique for degraded document images
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ABSTRACT Segmentation of text from badly degraded document images is a very challenging task due to the high inter/intravariation between the document background and the foreground text of different document images. In this paper, we propose a novel document 

A New Global Thresholding Approach for Document Image Binarization
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ABSTRACT Document image binarization is an active research area in the field of image processing. The work reported here, proposes a new methodology for determination of the threshold value to binarize noisy/noise free digitized document images. Firstly, Middle of 

Binarization method based on evolution equation for document images produced by cameras
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A combined approach for the binarization of handwritten document images
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There are many challenges addressed in handwritten document image binarization, such as faint characters, bleed-through and large background ink stains. Usually. 

Adaptive Document Image Binarization with Application in Processing Astronomical Logbooks
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Recently, the digitalization of the astronomical scientific heritage has been considered an important task that can facilitate much researches in astronomy. The creation of digital libraries and databases of astronomical photographic plates brings up the problem of 

Document binarization with automatic parameter tuning
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 Indeed, intense activ- ity in this field has made the document image binarization contest (DIBCO) series, one of the most popular compe- titions within the document analysis research community, attracting 17 entries in its most recent iteration [19]. 

A local linear level set method for the binarization of degraded historical document images
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 2011ABSTRACT Document image binarization is a difficult task, especially for complex document images.  languages. In addition, this method was submitted to the Document Image Binarization Contest (DIBCO'09), at which it placed 3rd. 

A learning framework for the optimization and automation of document binarization methods
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Lu's method: document image binarization using background estimation. Lu's algorithm appeared first as a submission to the DIBCO'09 contest, and placed first among 43 algorithms that were submitted by 35 international groups. 

A New Local Adaptive Thresholding Technique in Binarization
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J. Sauvola and M. Pietikainen, Adaptive document image binarization, image binarization based on texture features', IEEE Pattern Anal. Mach. 

Effect of
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 The continued interest in image binarization was high- lighted at ICDAR in 2009 when 35 research groups con- tributed 43 algorithms for evaluation in the first Document Image Binarization Contest (DIBCO 2009). Since then 

Improvements to Uncalibrated Feature-Based Stereo Matching for Document Images by Using Text-Line Segmentation
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 Document Analysis and Recognition, vol. 11 October 2008. [13] J. Sauvola and M. Pietikäinen, Adaptive document image binarization, Pattern Recognition,

A Lightweight Dynamic Binarization Method for 2D Barcode Scanning Terminal
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 Pattern Anal.Mach.Intell. 17(12), 1191-1201(1995) [4] W. Niblack, An introduction to digital image M. Pietikainen, Adaptive Document image binarization, pattern recognition

Image Enhancement with Statistical Estimation
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Gatos, K. Ntirogiannis, I. Pratikakis, ICDAR 2009 document image binarization contest (DIBCO degraded document image binarization, Pattern Recognition 39 (3) (2006) 317–327. 

Parameter-free based two-stage method for binarizing degraded document images
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Binarization plays an important role in document image processing, especially in degraded documents. For degraded document images, adaptive binarization methods.

A Novel Ring Radius Transform for Video Character Reconstruction
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Character recognition in video is a challenging task because low resolution and complex background of video cause disconnections, loss of information, loss of s.

Hyperconnections and hierarchical representations for grayscale and multiband image processing
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 of galaxies. Finally, we propose a novel document image binarization method based on the h-component tree and we evaluate it on the DIBCO (Document Image Binarization Contest [28]) 2009 benchmarking dataset. 1.3 Organization 

A New Efficient Binarization Method for MRI of Brain Image
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Page 1. SignalImage Processing : An International Journal (SIPIJ) Vol.3, No.6, December 2012 DOI : 10.5121/sipij.2012.3604 35 A New Efficient Binarization Method for MRI of Brain Image Sudipta Roy, Ayan Dey, Kingshuk Chatterjee, Prof. Samir K. Bandyopadhyay 

OCR-Free Table of Contents Detection in Urdu Books
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Adaptive Document Image Binarization, Pattern Recognition,

From text detection in videos to person identification
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Adaptive document image binarization, Pattern Recognition,

Bleed-through removal in degraded documents
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 [9] Sauvola, J. and Pietikinen, M., Adaptive document image binarization, Pattern Recognition Gatos, B., Pratikakis, I., and Perantonis, SJ, Adaptive degraded document image binarization, Pattern Recognition

Ocropodium: open source OCR for small-scale historical archives
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In the case of the HMS Kelly newsletters, we found that binarizing the source images using Ocropus's implementation of the Sauvola algorithm for adaptive document image binarization where the parameters were interactively adjusted for the highest-contrast text 

Segmenting the Eye Fundus Images for Identification of Blood Vessels
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 References B. Gatos, I. Pratikakis and SJ Perantonis. Adaptive degraded document image document image binarization. Pattern Recognition

Using Max-Trees with Alternative Connectivity Classes in Historical Document Processing
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Using Max-Trees with Alternative Connectivity Classes in Historical Document Processing Jaap Oosterbroek ,S1657291 Department of Artificial Intelligence University of Groningen

Application of Wavelet Decomposition to Document Line Segmentation
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 theology. The efforts to design a software system able to process manuscripts which con- tain neume notation lead to various nonstandard algorithms for document image binarization, segmentation and symbol recognition [10]. 

Computing Precision and Recall with Missing or Uncertain Ground Truth
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Computing Precision and Recall with Missing or Uncertain Ground Truth Bart Lamiroy1 and Tao Sun2 1 Universit de Lorraine – LORIA, Nancy, France Lehigh University – Computer Science and Engineering, Bethlehem, PA, USAABSTRACT

A brief experience on journey through hardware developments for image processing and its applications on Cryptography
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Real-Time Adaptive Image Thresholding ,online access [7] Yahia S. Halabi, Modeling Adaptive Degraded Document Image Binarization and Optical Character System,online access 

A DOCUMENT RECTIFICATION APPROACH DEALING WITH BOTH PERSPECTIVE DISTORTION AND WARPING BASED ON TEXT FLOW CURVE FITTING
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 separated columns. 3.2. Text line detection The text line detection process is comprised of two steps. The first step enhances the text lines with local directional compensation and document image binarization. The second step 

Robust Filtering-Based Thinning Algorithm for Pattern Recognition
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An Algorithm for the Estimation of the Initial Text Skew
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Vol.41, No.3 An Algorithm for the Estimation of the Initial Text Skew Darko Brodic1, Dragan R. Milivojevic2 1 University of Belgrade, Technical 

Identifications of concealed weapon in a Human Body
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 pp. 115–116. Prentice Hall, Eaglewood Cliffs (1986) 10. Sauvola, J., Pietikainen, M.: Adaptive document image binarization. Pattern Recogn. 33(2), 225–236 (2000) 11. Manjusha Deshmukh, Udhav Bhosale.: Image Fusion and Image Quality Assessment of Fused Images. 

A Vision-Based Fast Chinese Postal Envelope Identification System
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A laser sensor is used to trigger the camera to capture the images. To enable the high-speed processing of the postage envelopes, a fast destination address block location algorithm and a document image binarization algorithm are pro- posed at first. 

Modi?ed Otsu Thresholding Technique
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CENGAGE Learning (2007) 3. Sauvola, J., Pietikainen, M.: Adaptive Document Image Binarization. Pattem Recognition 33, 225-236 (2000) 4. Gatos, B., Pratikakis, I., Perantonis, SJ: Adaptive Degraded Document Image Binarization. 

Approach to the Improvement of the Text Line Segmentation by Oriented Anisotropic Gaussian Kernel
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 Cybernetics.

A framework for improved video text detection and recognition
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Page 1. Multimed Tools Appl A framework for improved video text detection and recognition Haojin Yang·Bernhard Quehl·Harald Springer Science+Business Media New York 2012ABSTRACT

Localization of iris region using MLRP algorithm intended for biometric applications
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Method, International Conference on Signal Processing Systems, pp.98 – 102. [8] J. Sauvola,

Decision Tree used for E-commerce Integrity Evaluation
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 36(2, Part 1): p. 2017-2026. 26. Zhang, Y. and L. Wu, Fast Document Image Binarization based on an improved adaptive Otsu's method and destination word accumulation. Journal of

Performance Change and Its Influence Factors in IPO-An Empirical Study on China Growth Enterprise Market
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 4425. [29] Yudong Zhang, Lenan Wu, Fast Document Image Binarization based on an improved adaptive Otsu's method and destination word accumulation, Journal of Computational Information Systems, 7(6) (2011) 1886-1892. 

Adaptive binarization of 17th century printed text
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 3.1.1 DIBCO 2009 data set Dibco stands for " Document Image Binarization Contest" and the dibco 2009 set [7] are images used to test binarization methods, and thus a good basis for testing and comparing. Note that these are from the same test run as the images in section 2. 

Document image enhancement
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 This thesis focuses on three aspects of the document enhancement techniques including document image binarization, web image recognition and document image deblurring.  12 Page Document Image Binarization using Local Maximum and Minimum 

Image Registration based on Mutual Information and Restarted Simulated Annealing
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Y. Zhang and L. Wu, " Fast Document Image Binarization based on an improved adaptive Otsu's method and destination word accumulation," Journal of Computational Information Systems,

A two-stage approach to the segmentation of FIB-SEM images of highly porous materials
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Segmentation of 3D FIB-SEM images is a specific problem for porous materials, where grey intensities are not sufficient to determine the phase represented by a.

Generic Image Processing with Climb (demonstration proposal)
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 IEEE Transactions on Systems, Man and Cybernetics, 9(1):62–66, Jan. 1979. [5] J. Sauvola and [6] P. Soille. Morphological Image Analysis: Principles and Applications. 

An investigation into Telugu font and character recognition
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 Figure 2.5 shows a gray image (a), and binary image (b) of a newspaper document. (a) Gray image (b) Binary image Figure 2.5 Document image binarization Page 7. 17 The most common method for binarization is to select a proper intensity threshold 

Offline Signature Recognition Using Machine Learning
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 20 inputs. REFERENCES Souvola, J. &Pietikainen, M. (2000), Adoptive document image binarization, The Journal of The Pattern Recognition Society, page 225-236. Bhuyan, M., Sarma, KK,Das, H. (2010). Signature Recognition 

An Improved MRI Segmentation for Atrophy Assessment
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Based on an Improved Adaptive Otsu's Method and Destination Word Accumulation, Journal of Computational Information Systems (2011)

An automated vision system for container-code recognition
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Automatic container-code recognition is of great importance to the modern container management system. Similar techniques have been proposed for vehicle license.

Empirical Study on the Relationship between the Local Fiscal Revenue and Expenditure and the Development of Financial Industry in Shanghai
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Analysis of image thresholding methods for their application to augmented reality environments
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Page 1. ANALYSIS OF IMAGE THRESHOLDING METHODS FOR THEIR APPLICATION TO AUGMENTED REALITY ENVIRONMENTS Daniel Martn Carabias MSTER EN INVESTIGACIÓN EN INFORMTICA. FACULTAD 

Pattern Recognition by PSOSQP and Rule based System
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Binarization based on an improved adaptive Otsu's method and destination word accumulation. Journal of Computational Information Systems,


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