Advancing Optical Character Recognition for Low-Resource Scripts: A Siamese Meta-Learning Approach With PSN Framework
With the increasing demand for digitization, Optical Character Recognition (OCR) systems play a vital role in digitizing physical manuscripts.Several methods have been successfully deployed in the OCR domain.However, they often face challenges when dealing with low-resource regional scripts because of the limited training data and complex structure