An introduction to digital image processing
An introduction to digital image processing
Adaptive Document Binarization
ICDAR '97 Proceedings of the 4th International Conference on Document Analysis and Recognition
Adaptive degraded document image binarization
Pattern Recognition
A binarization algorithm for historical manuscripts
ICCOM'08 Proceedings of the 12th WSEAS international conference on Communications
ICDAR 2009 Document Image Binarization Contest (DIBCO 2009)
ICDAR '09 Proceedings of the 2009 10th International Conference on Document Analysis and Recognition
DIBCO 2009: document image binarization contest
International Journal on Document Analysis and Recognition - Special Issue on Performance Evaluation
Adaptive binarization method for enhancing ancient malay manuscript images
AI'11 Proceedings of the 24th international conference on Advances in Artificial Intelligence
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Binarization process is easy when applying simple thresholding method onto good quality image. However, this task becomes difficult when it deals with degraded image. Most current binarization methods involve complex algorithm and less ability to recover important information from a degradation image. We introduce an adaptive binarization method to overcome the state of the art. This method also aims to solve the problem of the low contrast images and thin pen stroke problems. It can also enhance the effectiveness of solving all other problems. As well as, it does not need to specify the values of the factors manually. We compare the proposed method with known thresholding methods, which are Niblack, Sauvola, and NICK methods. The results show that the proposed method gave higher performance than previous methods.