ITM Web Conf.
Volume 43, 2022The International Conference on Artificial Intelligence and Engineering 2022 (ICAIE’2022)
|Number of page(s)||7|
|Published online||14 March 2022|
Writer identification using textural features
Ibn Tofail University, Kenitra, Morocco
Writer Identification has gained increasing importance in the scientific community in recent years. In this paper, we propose an approach based on the combination of local textural descriptors and encoding methods (VLAD and Triangulation Embedding). The tests carried out in the bilingual LAMIS dataset made it possible to reach 100% in the Arabic version and 100% in the French version.
Key words: Writer Identification / Harris keypoint / VLAD / Run Length
© The Authors, published by EDP Sciences, 2022
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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