Visible to the public Biblio

Filters: Author is Dawande, N. A.  [Clear All Filters]
2017-03-08
Lokhande, S. S., Dawande, N. A..  2015.  A Survey on Document Image Binarization Techniques. 2015 International Conference on Computing Communication Control and Automation. :742–746.

Document image binarization is performed to segment foreground text from background text in badly degraded documents. In this paper, a comprehensive survey has been conducted on some state-of-the-art document image binarization techniques. After describing these document images binarization techniques, their performance have been compared with the help of various evaluation performance metrics which are widely used for document image analysis and recognition. On the basis of this comparison, it has been found out that the adaptive contrast method is the best performing method. Accordingly, the partial results that we have obtained for the adaptive contrast method have been stated and also the mathematical model and block diagram of the adaptive contrast method has been described in detail.