A graph-based solution for writer identification from handwritten text-Reference-Cited by-同舟云学术

A graph-based solution for writer identification from handwritten text

Published:2022-04-26 Issue:6 Volume:64 Page:1501-1523
ISSN:0219-1377
Container-title:Knowledge and Information Systems
language:en
Short-container-title:Knowl Inf Syst

Author:

Rahman Atta Ur,Halim Zahid^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Hardware and Architecture,Human-Computer Interaction,Information Systems,Software

Link

https://link.springer.com/content/pdf/10.1007/s10115-022-01676-7.pdf

Reference45 articles.

1. Bulacu M, Schomaker L (2007) Text-independent writer identification and verification using textural and allographic features. IEEE Trans Pattern Anal Mach Intell 29(4):701–717

2. Srihari SN, Cha SH, Arora H, Lee S (2002) Individuality of handwriting. J Forensic Sci 47(4):1–17

3. Rodriguez JA, Perronnin F (2008) Local gradient histogram features for word spotting in unconstrained handwritten documents. In: Proceedings of the 1st ICFHR, pp 7–12

4. Schomaker L, Bulacu M (2004) Automatic writer identification using connected-component contours and edge-based features of uppercase western script. IEEE Trans Pattern Anal Mach Intell 26(6):787–798

5. Abdi MN, Khemakhem M (2015) A model-based approach to offline text-independent Arabic writer identification and verification. Pattern Recogn 48(5):1890–1903

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