Handwritten Recognition Techniques: A Comprehensive Review
HA Alhamad, M Shehab, MKY Shambour… - Symmetry, 2024 - mdpi.com
Given the prevalence of handwritten documents in human interactions, optical character
recognition (OCR) for documents holds immense practical value. OCR is a field that …
recognition (OCR) for documents holds immense practical value. OCR is a field that …
[HTML][HTML] Hybrid Arabic handwritten character segmentation using CNN and graph theory algorithm
L Berriche, A Alqahtani, S RekikR - … of King Saud University-Computer and …, 2024 - Elsevier
Arabic handwritten words segmentation is considered a challenging step in Arabic optical
character recognition. In this work, we propose a convolutional neural network-based …
character recognition. In this work, we propose a convolutional neural network-based …
Pashto handwritten invariant character trajectory prediction using a customized deep learning technique
Before the 19th century, all communication and official records relied on handwritten
documents, cherished as valuable artefacts by different ethnic groups. While significant …
documents, cherished as valuable artefacts by different ethnic groups. While significant …
Deep learning-based recognition system for pashto handwritten text: benchmark on PHTI
This article introduces a recognition system for handwritten text in the Pashto language,
representing the first attempt to establish a baseline system using the Pashto Handwritten …
representing the first attempt to establish a baseline system using the Pashto Handwritten …
A Model for Building English Training Corpora from Scanned Documentation
V rani Vaddadi, S Gembali, AK Rout - 2024 - researchsquare.com
Related to various fields like Academia, Government Organizations, Hospitals, and
Mythology, where a lot of information is available in hard copies. These documents need to …
Mythology, where a lot of information is available in hard copies. These documents need to …