Handwritten document recognition and classification constitute a pivotal area in document analysis, interfacing computer vision, machine learning, and pattern recognition.

Handwritten Mathematical Expression Recognition (HMER) is a challenging interdisciplinary field at the nexus of computer vision, pattern recognition and artificial intelligence.

Machine learning and optical character recognition can help brokers enter data from forms, but it still often takes human effort to read handwriting ...

Laserfiche Embeds Handwriting Recognition in Artificial Intelligence Data Capture Services Expansions of Laserfiche’s AI capabilities also include full-text searchability for audio and video files ...

More information: Zachary Matthew Alabastro et al, Applied Optical Character Recognition and Large Language Models in Augmenting Manual Business Processes for Data Analytics in Traditional Small ...