Real-time identification method for on-line handwriting sentences

Abstract

The invention discloses a real-time identification method for on-line handwriting sentences. The method comprises that: an input starting module starts stroke input; a stroke acquisition module records a stroke track of a pen point moving on an input plane; a real-time identification module performs real-time identification on the stroke track after a pen is lifted; a pen lifting time judgment module calculates whether the pen lifting time is long enough; a started character string identification module calculates the fraction of each segmentation identification path in a candidate segmentation identification grid according to a path evaluation criteria, and searches the path with optimal fraction by using a dynamic planning algorithm to obtain a character string identification result; an editing modification module performs editing modification on the character string identification result, and performs editing modification on error character segmentation and character identification parts through the operation of a user; and a language association module provides subsequent characters or words for the user to select through language association according to the last character type based on the character string identification and the editing modification so as to improve the sentence input speed.

Description

technical field [0001] The invention belongs to the field of computer application technology and pattern recognition, and specifically relates to an online handwritten character recognition technology and a handwritten Chinese input method. Background technique [0002] In recent years, along with the appearance of mobile terminal devices such as pen type computer, PDA and mobile phone and more and more application, on-line handwritten character input method obtains more and more attention. On-line handwriting input is to use an electronic board or electronic pen to collect the stroke trajectory (also known as digital ink) of the text during the writing process, then recognize the trajectory, and use or save the recognition result as text. Compared with the common screen and keyboard input method, the pen input technology enables users to use only a pen to achieve input without switching input devices, input modes or input software, which is closer to the traditional paper a...

AI Technical Summary

Problems solved by technology

In terms of real-time recognition of online handwritten Chinese sentences, that is, during the sentence writing process, the system automatically recognizes some

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