SqueezeNet-driven AI framework for OCR of handwritten English characters and digits
The proposed framework underscores the potential of combining efficient feature extraction with ML classifiers to advance OCR systems for handwritten text recognition in real-world applications, and highlights the effectiveness of lightweight deep learning architectures such as SqueezeNet in enhancing OCR performance.