Writer identification using textural features-Reference-Cited by-同舟云学术

Writer identification using textural features

Published:2022 Issue: Volume:43 Page:01027
ISSN:2271-2097
Container-title:ITM Web of Conferences
language:
Short-container-title:ITM Web Conf.

Author:

Lazrak Said,Semma Abdelillah,Ahmer El Kaab Noureddine,El Youssfi El Kettani Mohamed,Mentagui Driss

Abstract

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.

Publisher

EDP Sciences

Subject

General Medicine

Link

https://www.itm-conferences.org/10.1051/itmconf/20224301027/pdf

Reference16 articles.

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3. Fiel S., Sablatnig R.: Writer identification and retrieval using a convolutional neural network. In: International Conference on Computer Analysis of Images and Patterns. pp. 26–37. Springer (2015)

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