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

Grooper's advanced AI handwriting recognition technology and seamless integration with Hyland products, particularly OnBase, made it the best choice for data capture.

In the field of handwriting recognition, the MNIST database is commonly used to train networks on handwritten numerals.

Robust handwriting recognition services make content-centric workflow automation accessible to Laserfiche customers whose end users require paper documents or forms for any reason.

Laserfiche—the leading SaaS provider of intelligent content management and business process automation—is expanding its intelligent data handwriting recognition tool for Laserfiche Cloud. This ...

Software maker Pen&Internet last week released riteForm for Linux, the first natural handwriting-recognition software for the open-source platform. Operating locally or from a server, riteForm is ...

There are quite a few iOS productivity apps with handwriting recognition functionality available, for example Notes Plus, iWriteWords for kids, or (indirectly) Evernote. But recognizing ...

Buy something online, enter your credit card number and mailing address. Simple. Then you come to the box with the CAPTCHA, the Completely Automated Public Turing Test to Tell Computers and Humans ...