ROBDD-TrOCRBERTa: a novel robust-optimized blurred document text deblurring and completion with DCGAN-TrOCR and DistilRoBERTa

Blurred text documents such as historical documents, handwritten manuscripts, old newspapers, moist invoices or legal agreements, old books, hand written notes often present readability challenges because the quality of the text has deteriorated over time. The proposed Robust Optimized Blurred Docum...

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Veröffentlicht in:	International journal of information technology (Singapore. Online) Jg. 16; H. 7; S. 4611 - 4619
Hauptverfasser:	Ranjan, Arti, Ravinder, M.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Singapore Springer Nature Singapore 01.10.2024 Springer Nature B.V
Schlagworte:	Accuracy Artificial Intelligence Blurring Computer Imaging Computer Science Computer vision Datasets Deep learning Dictionaries Diffusion models Documents Handwriting Image Processing and Computer Vision Image quality International conferences Machine Learning Natural language processing Original Research Pattern recognition Pattern Recognition and Graphics Readability Recognition Robustness (mathematics) Software Engineering Vision Robust-optimized blurred document deblurring ROBDD-TrOCRBERTa TrOCR DistilRoBERTa Text deblurring NLP-based post-processing
ISSN:	2511-2104, 2511-2112
Online-Zugang:	Volltext
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