Multiscript Handwriting Recognition Using RNN Transformer Architecture

Multiscript handwriting recognition is used to recognize handwritten text from multiple scripts. It is a challenging task because each script has its own unique characteristics like writing direction, their character shapes, and their ligatures. Due to this, the system should be able to recognize text from a variety of the handwriting styles, and it includes many different writing speeds, their pen pressures, and the slants. It is a challenging task because different people write in many different ways, and they’re even the same person handwriting can vary depending on the situation. System should be able to recognize the text quickly and it is accurate. It is important because multiscript handwriting recognition systems are used to process a larger dataset and digitized historical documents or medical records.