Reuters

CoreTechX Unveils Its OCR System, Achieving State-of-the-Art Accuracy in Handwritten Arabic Recognition

RIYADH, Saudi Arabia, January 21, 2026 (EZ Newswire) -- The leader in specialized Arabic document intelligence, CoreTechX, opens new tab, has announced the launch of its proprietary OCR system. Until ...
IEEE

Handwritten Text Recognition Using Bi-LSTM, CNN and Transformer Encoder

Abstract: In order to digitize handwritten documents and make historical archives, administrative records, and private notes, Handwritten text recognition (HTR) is necessary. Maintaining knowledge and ...
Scientific Research Publishing

A Survey of Gesture Recognition Using Frequency Modulated Continuous Wave Radar ()

With technology advances and human requirements increasing, human-computer interaction plays an important role in our daily lives. Among these interactions, gesture-based recognition offers a natural ...
scienceopen.com

Deep Learning for Dyslexia Detection: A Comprehensive CNN Approach with Handwriting Analysis and Benchmark Comparisons

Dyslexia is a complex learning disorder that affects neurological nerves in the brain and makes reading and writing difficult; therefore, early diagnosis for effective interventions becomes important.
scienceopen.com

Deep Learning-Based Model for Detecting Dyslexia Using Handwritten Images

Across the globe, dyslexia and dysgraphia are two frequent learning disorders identified in classrooms. This condition is characterized by difficulties in age-appropriate reading without any ...
Europe PMC

CNN-BiLSTM model for English Handwriting Recognition: Comprehensive Evaluation on the IAM Dataset

We present a CNN-BiLSTM system for the problem of offline English handwriting recognition, with extensive evaluations on the public IAM dataset, including the effects of model size, data augmentation ...