Handwritten text editing method

Abstract

The invention relates to a handwritten text editing method which comprises the following steps of: receiving preset size data of a single handwritten text; acquiring stroke data of each input period of handwritten input equipment, wherein the stroke data comprises a stroke trace, starting time and ending time; combining the acquired stroke data of a plurality of periods into a handwritten text group; splitting the handwritten text group into single handwritten texts; zooming the split single handwritten texts at equal proportion according to a preset size; and displaying the zoomed single handwritten texts in an appointed area according to an original sequence. Compared with the prior art, the handwritten text editing method has the advantages that: according to the handwritten text editing method required to be protected, after the handwritten text group is split into the single handwritten texts, the sizes of the single handwritten texts can be normally zoomed like editing the word sizes of general printed texts, so that an aim of averaging the sizes of the handwritten texts.

Description

technical field [0001] The invention relates to the technical field of handwritten text processing, in particular to a handwritten text editing method. Background technique [0002] Text input on electronic devices is generally accomplished by using a keyboard or an analog keyboard to map a character library through pinyin rules or stroke rules. With the popularization of touch input devices, more and more electronic devices, especially hand-held electronic devices, use the handwriting input method for text input. [0003] The so-called technical scheme of handwriting input has two kinds of schemes, namely recognition mode and handwriting mode. [0004] Recognition mode means that the user inputs a series of stroke data to the electronic device in the usual way of handwriting through touch input devices such as electromagnetic induction tablet, pressure sensitive tablet, touch screen, touchpad, ultrasonic pen, etc. After handwriting recognition, these handwritten strokes a...

AI Technical Summary

Problems solved by technology

[0006] From the above analysis, it can be seen that in the recognition mode, the personalized handwriting results of individual users cannot be retained. For example, users with good or bad calligraphy will get uniform writing results.

However, when using the handwriting mode for handwriting input, users with poor calligraphy, such as users with different sizes of characters, will not get satisfactory handwriting input results.

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