Writer identification on historical documents using oriented basic image features
Author | Abdeljalil G. |
Author | Djeddi C. |
Author | Siddiqi I. |
Author | Al-Maadeed S. |
Available date | 2019-09-24T08:16:01Z |
Publication Date | 2018 |
Publication Name | Proceedings of International Conference on Frontiers in Handwriting Recognition, ICFHR |
Resource | Scopus |
ISBN | 978-1-5386-6009-10 |
ISSN | 21676445 |
Abstract | This study addresses the problem of identifying the authorship of historical manuscripts, a challenging task that offers interesting applications for document examiners and paleographers. We exploit handwriting texture as the discriminative attribute characterizing the writer of a given document. The textural information in handwriting is captured using a combination of oriented Basic Image Features (oBIFs) at different scales. Classification is carried out using a number of distance metrics which are combined to arrive at a final decision. A comprehensive series of experiments is carried out using different configurations of the oBIFs and the realized classification rates are compared with the state-of-the-art techniques on this problem. ? 2018 IEEE. |
Language | en |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Subject | Handwriting Historical Documents Oriented Basic Image Features Writer Identification |
Type | Conference Paper |
Pagination | 369 - 373 |
Volume Number | 2018-August |
Files in this item
Files | Size | Format | View |
---|---|---|---|
There are no files associated with this item. |
This item appears in the following Collection(s)
-
Computer Science & Engineering [2284 items ]