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

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

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

Tired of having to adjust to the quirks of handwriting recognition systems? This one from Sweden lets you write naturally--without any special symbols or arcane strokes to remember.

In the field of handwriting recognition, the MNIST database is commonly used to train networks on handwritten numerals. After [Evan Pu] mentioned it would be fun to use this data to create a clock ...

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 ...

The iPad’s Handwriting Recognition Shows How Apple Does Machine Learning We asked Apple’s Craig Federighi how they teach software to read anyone’s scrawl.

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 ...