As large quantity of document images is getting archived by the digital libraries, there is a need for an efficient search strategies to make them available as per users informatio...
This paper presents a new adaptive approach for document image binarization. The proposed method is mainly based on the combination of several stateof-the-art binarization methodo...
Basilios Gatos, Ioannis Pratikakis, Stavros J. Per...
Decoding noisy document images is commonly needed in applications such as enterprise content management. Available OCR solutions are still not satisfactory especially on noisy ima...
In this paper, a new document image binarization technique is presented, as an improved version of the state-of-the-art adaptive logical level technique (ALLT). The original ALLT ...
This paper describes nonparametric Bayesian treatments for analyzing records containing occurrences of items. The introduced model retains the strength of previous approaches that...