Adaptive degraded document image binarization

By B. Gatos, Ioannis Pratikakis, Stavros J. Perantonis. Pattern Recognition, 2006

684 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Media Technology

View Paper: https://www.semanticscholar.org/paper/aa26d72a007aa6e55db7db8f23a5861f49b729ad

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. N. Vincent
2. Imran Siddiqi
3. Khurram Khurshid
4. C. Faure

Citations in the corpus

• Comparison of Niblack inspired binarization methods for ancient documents (2009, background): “In an OCR, one of the main processing stage is binarization of document images, i.e. separation of foreground from background [12,16].”
• A New Local Adaptive Thresholding Technique in Binarization (2012, neutral): “Therefore, some researchers use a hybrid approach that applies both global and local thresholding methods [32] and some use morphological operators[33].”