This paper presents an automatic orientation detection and categorization technique that is capable of detecting the orientation of multilingual documents with arbitrary skew and ...
In order to overcome poor readability of text and recognizability of image features in low resolution thumbnails, a novel image representation of compound document images - a Smar...
Kathrin Berkner, Edward L. Schwartz, Christophe Ma...
This paper addresses the difficult problem of symbol spotting for graphic documents. We propose an approach where each graphic document is indexed as a text document by using the ...
The paper presents a clutter detection and removal algorithm for complex document images. The distance transform based approach is independent of clutter's position, size, sh...
—In order to spot the digits in a handwritten document, each component is sent to a classifier. This is a time consuming process because a document usually contains several hundr...
Nicola Nobile, Chun Lei He, Malik Waqas Sagheer, L...