[HTML][HTML] Analysis of recent deep learning techniques for Arabic handwritten-text OCR and Post-OCR correction
R Najam, S Faizullah - Applied Sciences, 2023 - mdpi.com
Arabic handwritten-text recognition applies an OCR technique and then a text-correction
technique to extract the text within an image correctly. Deep learning is a current paradigm …
technique to extract the text within an image correctly. Deep learning is a current paradigm …
Importance and challenges of handwriting recognition with the implementation of machine learning techniques: a survey
E Sánchez-DelaCruz, CI Loeza-Mejía - Applied Intelligence, 2024 - Springer
Ancient manuscripts store historical, literary, cultural, and geographical information.
Therefore, the automatic analysis of manuscripts is of great interest in heritage culture and …
Therefore, the automatic analysis of manuscripts is of great interest in heritage culture and …
[PDF][PDF] A New Paradigm for Decision Making under Uncertainty in Signature Forensics Applications based on Neutrosophic Rule Engine
OA Hassen, S Mashhadani, I Alhakam… - Full Length …, 2024 - researchgate.net
One of the most popular and legally recognized behavioral biometrics is the individual's
signature, which is used for verification and identification in many different industries …
signature, which is used for verification and identification in many different industries …
Feature Extraction Algorithm in Intelligent Translation Proofreading System
S Guo - 2024 International Conference on Distributed …, 2024 - ieeexplore.ieee.org
With the rapid development of artificial intelligence technology, intelligent translation
proofreading system has been developed. Feature extraction algorithm is one of the key …
proofreading system has been developed. Feature extraction algorithm is one of the key …