Přístupnostní navigace
E-přihláška
Vyhledávání Vyhledat Zavřít
Detail publikace
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Handwriting significantly contributes to the task of the writer identification and verification of modern and historical documents.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
https://library.imaging.org/archiving/articles/20/1/32
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" }