In the last two decades, mass digitization has dramatically changed the landscape of scholarly research. The ability to ...

🧠 Handwritten Digit Recognition using Deep Learning This project implements a CNN-based image classification model using the MNIST dataset to recognize handwritten digits from 0 to 9. It is built ...

Real-time execution of SNN models with synaptic plasticity for handwritten digit recognition on SIMD hardware Bernardo Vallejo-Mancero 1 * Jordi Madrenas 1 Mireya Zapata 2 ...

This paper presents a novel approach for handwritten digit recognition and image super-resolution using deep learning and ESRGAN (Enhanced Super-Resolution Generative Adversarial Network). The study ...

Automatic handwriting recognition systems are of interest for academic research fields and for commercial applications. Recent advances in deep learning techniques have shown dramatic improvement in ...