US Patent Application 18211139. MANAGING REAL-TIME HANDWRITING RECOGNITION simplified abstract
Contents
MANAGING REAL-TIME HANDWRITING RECOGNITION
Organization Name
Inventor(s)
Mei-Qun Xia of Palo Alto CA (US)
Jannes G. Dolfing of Washington DC (US)
Ryan S. Dixon of Redwood City CA (US)
Karl M. Groethe of San Francisco CA (US)
Jerome R. Bellegarda of Saratoga CA (US)
MANAGING REAL-TIME HANDWRITING RECOGNITION - A simplified explanation of the abstract
- This abstract for appeared for US patent application number 18211139 Titled 'MANAGING REAL-TIME HANDWRITING RECOGNITION'
Simplified Explanation
This abstract describes a technique for enabling handwriting input on a user device. It involves training a handwriting recognition module to recognize multiple scripts and thousands of characters using a single model. The technique allows for real-time recognition of handwriting, independent of stroke order and direction, for multi-character input, specifically for Chinese handwriting. The abstract also mentions the disclosure of user interfaces for this handwriting input functionality.
Original Abstract Submitted
Methods, systems, and computer-readable media related to a technique for providing handwriting input functionality on a user device. A handwriting recognition module is trained to have a repertoire comprising multiple non-overlapping scripts and capable of recognizing tens of thousands of characters using a single handwriting recognition model. The handwriting input module provides real-time, stroke-order and stroke-direction independent handwriting recognition for multi-character handwriting input. In particular, real-time, stroke-order and stroke-direction independent handwriting recognition is provided for multi-character, or sentence level Chinese handwriting recognition. User interfaces for providing the handwriting input functionality are also disclosed.
