View in EDS PDF Full Text

A Building-Block Approach to Character-Level Writer Verification on the Great Isaiah Scrolls.

Saved in:
Bibliographic Details
Title: A Building-Block Approach to Character-Level Writer Verification on the Great Isaiah Scrolls.
Authors: Tobing, T. Lumban1 tabita.tobing@ntnu.no, Bours, P.1
Source: Journal of Imaging Science & Technology. Mar/Apr2025, Vol. 69 Issue 2, p1-10. 10p.
Subjects: Graphology, Plurality voting, Historical source material, Machine learning, Historical analysis
Abstract: This study presents a novel character-level writer verification framework for ancient manuscripts, employing a building-block approach that integrates decision strategies across multiple token levels, including characters, words, and sentences. The proposed system utilized edge-directional and hinge features along with machine learning techniques to verify the hands that wrote the Great Isaiah Scroll. A custom dataset containing over 12,000 samples of handwritten characters from the associated scribes was used for training and testing. The framework incorporated character-specific parameter tuning, resulting in 22 separate models and demonstrated that each character has distinct features that enhance system performance. Evaluation was conducted through soft voting, comparing probability scores across different token levels, and contrasting the results with majority voting. This approach provides a detailed method for multi-scribe verification, bridging computational and paleographic methods for historical manuscript studies. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Imaging Science & Technology is the property of International Society for Imaging Science & Technology and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
FullText Links:
  – Type: pdflink
Text:
  Availability: 0
Header DbId: egs
DbLabel: Engineering Source
An: 185510404
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: A Building-Block Approach to Character-Level Writer Verification on the Great Isaiah Scrolls.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Tobing%2C+T%2E+Lumban%22">Tobing, T. Lumban</searchLink><relatesTo>1</relatesTo><i> tabita.tobing@ntnu.no</i><br /><searchLink fieldCode="AR" term="%22Bours%2C+P%2E%22">Bours, P.</searchLink><relatesTo>1</relatesTo>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Journal+of+Imaging+Science+%26+Technology%22">Journal of Imaging Science & Technology</searchLink>. Mar/Apr2025, Vol. 69 Issue 2, p1-10. 10p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Graphology%22">Graphology</searchLink><br /><searchLink fieldCode="DE" term="%22Plurality+voting%22">Plurality voting</searchLink><br /><searchLink fieldCode="DE" term="%22Historical+source+material%22">Historical source material</searchLink><br /><searchLink fieldCode="DE" term="%22Machine+learning%22">Machine learning</searchLink><br /><searchLink fieldCode="DE" term="%22Historical+analysis%22">Historical analysis</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: This study presents a novel character-level writer verification framework for ancient manuscripts, employing a building-block approach that integrates decision strategies across multiple token levels, including characters, words, and sentences. The proposed system utilized edge-directional and hinge features along with machine learning techniques to verify the hands that wrote the Great Isaiah Scroll. A custom dataset containing over 12,000 samples of handwritten characters from the associated scribes was used for training and testing. The framework incorporated character-specific parameter tuning, resulting in 22 separate models and demonstrated that each character has distinct features that enhance system performance. Evaluation was conducted through soft voting, comparing probability scores across different token levels, and contrasting the results with majority voting. This approach provides a detailed method for multi-scribe verification, bridging computational and paleographic methods for historical manuscript studies. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Journal of Imaging Science & Technology is the property of International Society for Imaging Science & Technology and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=185510404
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.2352/J.ImagingSci.Technol.2025.69.2.020401
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 10
        StartPage: 1
    Subjects:
      – SubjectFull: Graphology
        Type: general
      – SubjectFull: Plurality voting
        Type: general
      – SubjectFull: Historical source material
        Type: general
      – SubjectFull: Machine learning
        Type: general
      – SubjectFull: Historical analysis
        Type: general
    Titles:
      – TitleFull: A Building-Block Approach to Character-Level Writer Verification on the Great Isaiah Scrolls.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Tobing, T. Lumban
      – PersonEntity:
          Name:
            NameFull: Bours, P.
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 03
              Text: Mar/Apr2025
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-print
              Value: 10623701
          Numbering:
            – Type: volume
              Value: 69
            – Type: issue
              Value: 2
          Titles:
            – TitleFull: Journal of Imaging Science & Technology
              Type: main
ResultId 1