A new method for image segmentation
Computer Vision, Graphics, and Image Processing
Two-dimensional signal and image processing
Two-dimensional signal and image processing
Document Image Binarization Based on Texture Features
IEEE Transactions on Pattern Analysis and Machine Intelligence
Integral Ratio: A New Class of Global Thresholding Techniques for Handwriting Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
An Introduction to Digital Image Processing
An Introduction to Digital Image Processing
Digital Image Processing
On the Evaluation of Document Analysis Components by Recall, Precision, and Accuracy
ICDAR '99 Proceedings of the Fifth International Conference on Document Analysis and Recognition
A noise attribute thresholding method for document image binarization
ICDAR '95 Proceedings of the Third International Conference on Document Analysis and Recognition (Volume 1) - Volume 1
IBM Journal of Research and Development
Independent Component Analysis Segmentation Algorithm
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
Optimal combination of document binarization techniques using a self-organizing map neural network
Engineering Applications of Artificial Intelligence
Proceedings of the 2007 ACM symposium on Applied computing
An embedded application for degraded text recognition
EURASIP Journal on Applied Signal Processing
A binarization algorithm for historical manuscripts
ICCOM'08 Proceedings of the 12th WSEAS international conference on Communications
Real time detection and tracking of vehicles for speed measurement and license plate detection
VIIP '07 The Seventh IASTED International Conference on Visualization, Imaging and Image Processing
Foreground Text Extraction in Color Document Images for Enhanced Readability
PReMI '09 Proceedings of the 3rd International Conference on Pattern Recognition and Machine Intelligence
Estimation of proper parameter values for document binarization
CGIM '08 Proceedings of the Tenth IASTED International Conference on Computer Graphics and Imaging
Binarization of historical document images using the local maximum and minimum
DAS '10 Proceedings of the 9th IAPR International Workshop on Document Analysis Systems
Document analysis applied to fragments: feature set for the reconstruction of torn documents
DAS '10 Proceedings of the 9th IAPR International Workshop on Document Analysis Systems
BinarizationShop: a user-assisted software suite for converting old documents to black-and-white
Proceedings of the 10th annual joint conference on Digital libraries
Music score binarization based on domain knowledge
IbPRIA'11 Proceedings of the 5th Iberian conference on Pattern recognition and image analysis
Texture analysis for stroke classification in infrared reflectogramms
SCIA'05 Proceedings of the 14th Scandinavian conference on Image Analysis
VAST'06 Proceedings of the 7th International conference on Virtual Reality, Archaeology and Intelligent Cultural Heritage
Methods for written ancient music restoration
ICIAR'07 Proceedings of the 4th international conference on Image Analysis and Recognition
Efficient non-linear filter for impulse noise removal in document images
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part III
Form From Projected Shadow (FFPS): An algorithm for 3D shape analysis of sedimentary particles
Computers & Geosciences
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A number of techniques have previously been proposedfor effective thresholding of document images. In this papertwo new thresholding techniques are proposed andcompared against some existing algorithms.The algorithms were evaluated on four types ofdifficult' document images where considerablebackground noise or variation in contrast and illuminationexists. The quality of the thresholding was assessed usingthe Precision and Recall analysis of the resultant words inthe foreground.The conclusion is that no single algorithm works well forall types of image but some work better than others forparticular types of images suggesting that improvedperformance can be obtained by automatic selection orcombination of appropriate algorithm(s) for the type ofdocument image under investigation.