Gradient‐based approach to offline text‐independent Persian writer identification-Reference-Cited by-同舟云学术

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Gradient‐based approach to offline text‐independent Persian writer identification

Published:2018-11-21 Issue:2 Volume:8 Page:144-149
ISSN:2047-4938
Container-title:IET Biometrics
language:en
Short-container-title:IET biom.

Author:

Alavi Gharahbagh Abdorreza¹,Yaghmaee Farzin¹

Affiliation:

1. Department of Electrical and Computer EngineeringSemnan UniversitySemnanIran

Publisher

Institution of Engineering and Technology (IET)

Subject

Computer Vision and Pattern Recognition,Signal Processing,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-bmt.2018.5117

Reference35 articles.

1. Handwritten document analysis for automatic writer recognition;Bensefia A.;Electron. Lett. Comput. Vis. Image Anal.,2005

2. Text‐independent writer identification and verification using textural and allographic features;Schomaker L.;IEEE Trans. Pattern Anal. Mach. Intell.,2007

3. The IAM-database: an English sentence database for offline handwriting recognition

4. Off‐line writer identification and verification using Gaussian mixture models;Schlapbach A.;Mach. Learn. Doc. Anal. Recognit.,2008

5. USING A STATISTICAL LANGUAGE MODEL TO IMPROVE THE PERFORMANCE OF AN HMM-BASED CURSIVE HANDWRITING RECOGNITION SYSTEM

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1. Interpol questioned documents review 2019–2022;Forensic Science International: Synergy;2023

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