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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10128938/ https://www.ncbi.nlm.nih.gov/pubmed/37097998 http://dx.doi.org/10.1371/journal.pone.0284680 |