| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 536010 | Pattern Recognition Letters | 2011 | 13 Pages |
Abstract
In this study, we propose a new method for retrieving and recognizing words in historical documents. We represent word images with a set of line segments. Then we provide a criterion for word matching based on matching the lines. We carry out experiments on a benchmark dataset consisting of manuscripts by George Washington, as well as on Ottoman manuscripts.
Research highlights► Efficient and effective recognition of English and Ottoman word images. ► Efficient and effective retrieval of English and Ottoman word images. ► An effective and efficient representation of word images based on line descriptors. ► A new word-matching criterion using pairs of matched line descriptors.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Vision and Pattern Recognition
Authors
Ethem F. Can, Pınar Duygulu,