Digital Image Processing
Manuscript Bleed-through Removal via Hysteresis Thresholding
ICDAR '09 Proceedings of the 2009 10th International Conference on Document Analysis and Recognition
ICDAR 2009 Document Image Binarization Contest (DIBCO 2009)
ICDAR '09 Proceedings of the 2009 10th International Conference on Document Analysis and Recognition
Binarization of historical document images using the local maximum and minimum
DAS '10 Proceedings of the 9th IAPR International Workshop on Document Analysis Systems
H-DIBCO 2010 - Handwritten Document Image Binarization Competition
ICFHR '10 Proceedings of the 2010 12th International Conference on Frontiers in Handwriting Recognition
ICFHR 2010 Contest: Quantitative Evaluation of Binarization Algorithms
ICFHR '10 Proceedings of the 2010 12th International Conference on Frontiers in Handwriting Recognition
ICDAR 2011 Document Image Binarization Contest (DIBCO 2011)
ICDAR '11 Proceedings of the 2011 International Conference on Document Analysis and Recognition
ICFHR 2012 Competition on Handwritten Document Image Binarization (H-DIBCO 2012)
ICFHR '12 Proceedings of the 2012 International Conference on Frontiers in Handwriting Recognition
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This paper presents a new algorithm to threshold document images. The proposed algorithm deal with complex background images, illumination and aspect variants, back-to-front interference, variation of brightness and different positioned shadows. The algorithm have two phases. The first one uses edge detection and morphological operations to identify the text on the image. The second phase uses the positions of the text to define the threshold value in an adaptive process. Our approach presents promising results in images with complex background released from the Document Image Binarization Contest (DIBCO) when compared with other literature and competition thresholding algorithms.