A deep learning framework for historical manuscripts writer identification using data-driven features
Writer identification form historical manuscripts presents a challenging problem with
significant implications for understanding the authorship of ancient texts. In this paper, we …
significant implications for understanding the authorship of ancient texts. In this paper, we …
Revolutionizing Historical Manuscript Analysis: A Deep Learning Approach with Intelligent Feature Extraction for Script Classification
The automated classification of historical document scripts holds profound implications for
historians, providing unprecedented insights into the contexts of ancient manuscripts. This …
historians, providing unprecedented insights into the contexts of ancient manuscripts. This …
Contribution to historical manuscript dating: A hybrid approach employing hand-crafted features with vision transformers
Precisely dating historical manuscripts represents a paramount endeavor in the
comprehension and the interpretation of their historical significance as well as in the …
comprehension and the interpretation of their historical significance as well as in the …
HeritageScript: A cutting-edge approach to historical manuscript script classification with CNN and vision transformer architectures
Determining the script of historical manuscripts is pivotal for understanding historical
narratives, providing historians with vital insights into the past. In this study, our focus lies in …
narratives, providing historians with vital insights into the past. In this study, our focus lies in …
[PDF][PDF] Advancements in Dating Undated Manuscripts through Dual Methodologies
Manuscript dating, particularly in the context of analyzing handwritten materials, poses a
distinct challenge compared to author identification in anonymous holographs. The intricacy …
distinct challenge compared to author identification in anonymous holographs. The intricacy …