Hierarchical Fusion Using Subsets of Multi-Features for Historical Arabic Manuscript Dating
Author | Adam, Kalthoum |
Author | Al-Maadeed, Somaya |
Author | Akbari, Younes |
Available date | 2023-02-23T09:13:04Z |
Publication Date | 2022 |
Publication Name | Journal of Imaging |
Resource | Scopus |
Abstract | Automatic dating tools for historical documents can greatly assist paleographers and save them time and effort. This paper describes a novel method for estimating the date of historical Arabic documents that employs hierarchical fusions of multiple features. A set of traditional features and features extracted by a residual network (ResNet) are fused in a hierarchical approach using joint sparse representation. To address noise during the fusion process, a new approach based on subsets of multiple features is being considered. Following that, supervised and unsupervised classifiers are used for classification. We show that using hierarchical fusion based on subsets of multiple features in the KERTAS dataset can produce promising results and significantly improve the results. |
Sponsor | Funding: This research was funded by NPRP grant number NPRP7-442-1-082 from the Qatar National Research Fund (a member of Qatar Foundation). The statements made herein are solely the responsibility of the authors. |
Language | en |
Publisher | MDPI |
Subject | Deep features Handwriting style-based features Hierarchical fusion Historical Arabic manuscript dating Sparse representation-based features |
Type | Article |
Pagination | - |
Issue Number | 3 |
Volume Number | 8 |
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Computer Science & Engineering [2281 items ]