Detail publikace

Character-based Writer Verification of Ancient Hebrew Square-script Manuscripts: On Edge-direction Feature

TOBING, T. ŠKRABÁNEK, P. YILDIRIM, S. GEORGE, S. ELGVIN, T.

Originální název

Character-based Writer Verification of Ancient Hebrew Square-script Manuscripts: On Edge-direction Feature

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

Handwriting significantly contributes to the task of the writer identification and verification of modern and historical documents. This work developed a writer verification system for ancient Hebrew square-script manuscripts, mainly based on the edge-direction feature. Two configurations within the proposed system are carried out, i.e., character-based edge-direction feature extraction and extraction techniques of handwriting shape representation that may drive the system performance. A classification-based verification approach, utilizing Support Vector Machine (SVM) as the classifier, is employed to evaluate the performance of the two configurations. This study has confirmed that the skeleton-based shape representation technique outperforms the edge detection technique used in the predecessor approach. Furthermore, a character-based writer verification system provides the corresponding scholars and experts with an alphabetical investigation to identify the uniqueness of each writer’s handwriting.

Klíčová slova

writer verification; edge-direction feature; edge detection; ancient manuscript

Autoři

TOBING, T.; ŠKRABÁNEK, P.; YILDIRIM, S.; GEORGE, S.; ELGVIN, T.

Vydáno

23. 6. 2023

ISBN

978-0-89208-362-6

Kniha

Archiving Conference

Strany od

155

Strany do

158

Strany počet

4

URL

BibTex

@inproceedings{BUT185701,
  author="Tabita Lumban {Tobing} and Pavel {Škrabánek} and Sule {Yildirim} and Sony {George} and Torleif {Elgvin}",
  title="Character-based Writer Verification of Ancient Hebrew Square-script Manuscripts: On Edge-direction Feature",
  booktitle="Archiving Conference",
  year="2023",
  pages="155--158",
  doi="10.2352/issn.2168-3204.2023.20.1.32",
  isbn="978-0-89208-362-6",
  url="https://library.imaging.org/archiving/articles/20/1/32"
}