IEEE

Improving Offline Handwritten Text Recognition Accuracy with ADAM and SGD Optimizers and Convolutional Neural Networks Models

Abstract: Offline Handwritten Text Recognition (OHTR) is a challenging topic in pattern recognition and computer vision due to the variability and complexity of handwriting styles. This study explores ...
IEEE

Handwritten Amharic Character Recognition Through Transfer Learning: Integrating CNN Models and Machine Learning Classifiers

Abstract: Handwritten Amharic character recognition presents significant challenges due to the script’s syllabic nature and variations in handwriting styles. This study investigates a hybrid approach ...