handwritingtotext
Handwriting to text, or handwriting recognition, is the process of converting handwritten input into machine-encoded text. It covers both online handwriting recognition (OHR), which analyzes temporal stroke data captured by a pen, stylus, or finger, and offline handwriting recognition (OFR), which interprets static images of handwriting.
Online handwriting recognition relies on sequence modeling of pen trajectories, using models such as recurrent neural
Both tracks now frequently employ end-to-end learning, together with language models to improve spelling and word
Applications include note-taking apps, digitization of manuscripts, postal and form processing, and accessibility tools for the