An introduction to digital image processing
An introduction to digital image processing
Extraction of binary character/graphics images from grayscale document images
CVGIP: Graphical Models and Image Processing
Improvement of “integrated function algorithm” for binarization of document images
Pattern Recognition Letters
Fuzzy Algorithms: With Applications to Image Processing and Pattern Recognition
Fuzzy Algorithms: With Applications to Image Processing and Pattern Recognition
Adaptive Document Binarization
ICDAR '97 Proceedings of the 4th International Conference on Document Analysis and Recognition
A Method for Objective Edge Detection Evaluation and Detector Parameter Selection
IEEE Transactions on Pattern Analysis and Machine Intelligence
IBM Journal of Research and Development
Proceedings of the International Workshop on Multilingual OCR
Image retrieval systems based on compact shape descriptor and relevance feedback information
Journal of Visual Communication and Image Representation
Shape based local thresholding for binarization of document images
Pattern Recognition Letters
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Most of the document binarization techniques have many parameters that can initially be specified. Usually, subjective document binarization evaluation, employs human observes for the estimation of the best parameter values of the techniques. Thus, the selection of the best values for these parameters is crucial for the final binarization result. However, there is not any set of parameters that guarantees the best binarization result for all document images. It is important, the estimation of the best values to be adaptive for each one of the processing images. This paper proposes a new method which permits the estimation of the best parameter values for each one of the document binarization techniques and also the estimation of the best document binarization result of all techniques. In this way, document binarization techniques can be compared and evaluated using, for each one of them, the best parameter values for every document image.