The message is indeed the medium, but sometimes this concept gets lost in the exuberance of the breakneck pace of technology development. Whatever the form of your favorite computer--whether it sits ...

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

In a move that could have interesting implications for the future of its non-Latin audience, Google Translate has brought handwriting recognition – first introduced in its Android app – to the web. In ...

Windows has a built-in tool for improving its own handwriting recognition capability, and like many modern, smart features that increase their accuracy over time, it employs user data to do that. Some ...

Nebo is a digital notetaking app that was created by MyScript to showcase its handwriting recognition technology known as Ink. The app is iPad-only because it requires an Apple Pencil for input. Nebo ...

iPadOS 14 brings handwriting recognition to Apple tablets, at long last. The new system is called Scribble, and it’s easy to use, fast and flexible. You’ll need an active stylus, though. It doesn’t ...

LONG BEACH, Calif.--(BUSINESS WIRE)--Laserfiche — the leading SaaS provider of intelligent content management and business process automation — launched today an expansion of its intelligent data ...

Having tried handwriting recognition in Audi, BMW and Mercedes-Benz vehicles over the past several years, I’ve always regarded the feature as a novelty rather than a necessity. For me, it ranks below ...

The latest private beta of Apple's upcoming iPhone Software v2.0 includes a handwriting recognition interface for the Chinese language, according to a new report. AppleInsider reader Kenneth notes ...

Egg freckles. Eat up Martha. Cafe Fwiblob. There was a time when these words would have elicited instant giggles. Memes from the time before Twitter or Facebook, Apple’s Newton and its often-errant ...

When training neural networks to recognise things, what you need is a big pile of training data. You then need a subsequent pile of testing data to verify that the network is working as you’d expect.