Offline text-independent writer identification using a codebook with structural features

Understanding handwritten documents is a vital and challenging problem that attracts many researchers in the fields of forensic and authentication science. This paper presents an offline system for text-independent writer identification of handwritten documents. The system extracts a handwritten con...

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Bibliographic Details
Main Authors: Bashar Q. Ahmed, Yaser F. Hassan, Ashraf S. Elsayed
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2023-01-01
Series:PLoS ONE
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10128938/?tool=EBI