Fast recording device with handwriting identifying function and method thereof

Abstract

The invention discloses a fast recording method with handwriting identifying function, which comprises the steps of collecting handwriting data that is hand input by a user, displaying the handwriting that is hand input by the user, identifying multiple handwritings that are hand input by the user, and editing identified results. The picture and text recording speed by using the fast recording method and the device thereof is almost same with the human recording speed when using papers and pens, and the fast recording method and the device thereof can realize novel automatic identifying and differentiating as well as late stage editing of the handwritings such as characters, diagrams and the like.

Description

technical field [0001] The invention relates to pattern recognition technology, in particular to a fast recording device and method with handwriting recognition function. Background technique [0002] Nowadays, mobile terminals such as mobile phones and PDAs are quite popular and have become IT tools for people's daily use. These terminals are equipped with various input methods, including keyboard input methods, voice input methods, and handwriting input methods. [0003] On the one hand, due to constraints such as limitations of the keyboard, limitations of the application environment, and limitations of recognition accuracy and speed, the input speed of these input methods is mostly inferior to that of writing directly on paper; [0004] On the other hand, although people can type characters through the keyboard faster than writing on paper when they are able to use the standard PC keyboard proficiently, as far as human cognition and learning habits are concerned, people...

AI Technical Summary

Problems solved by technology

But this technique is still not suitable for fast real-time recording:

[0010] On the one hand, since the recognition accuracy of text characters cannot reach 100%, the existing handwriting input application is based on character-by-character recognition based on the input handwriting, and character recognition errors often occur, and the processed handwriting data is not processed. Complete records, resulting in missing data, so that future searches and corrections cannot be checked;

[0011] On the other hand, since the prior art cannot distinguish between the input of text and non-text characters, if the hand-drawn graphics cannot be distinguished while recording the text, the hand-drawn graphics will also be recognized by the recognition engine as text characters. As a result, wrong recognition results are obtained, and the graphic data will not be stored

[0012] At present, although there are separate devices for handwriting input and storage as graphic files and devices for recognizing and editing handwritten input characters, there is no method and method that can automatically recognize and distinguish handwritten characters or handwritten graphics, and simultaneously input and edit them. device

Therefore, the user still needs to replace the input device or perform a switching operation when writing different types of content, which is not convenient for the user to use.

Images