Handwritten font recognition method and system and terminal device

Abstract

The invention discloses a handwritten font recognition method and system and a terminal device, wherein the method comprises the following steps of collecting handwritten font tracks when a user writes, and obtaining the corresponding standard font characters according to the handwritten font tracks; carrying out feature extraction of handwritten font trajectory to obtain feature information of handwritten font text, and creating a text library according to the feature information of handwritten font text and corresponding standard font text; collecting an image of a handwritten manuscript andprocessing the image of the handwritten manuscript to obtain characteristic information of each handwritten font character in the handwritten manuscript; selecting a mapping relation set of a user corresponding to an author of a handwritten manuscript in a text library and matching the mapping relation set by calling the selected mapping relation set to obtain a standard font character corresponding to each handwritten font character in the handwritten manuscript; generating a standard font manuscript corresponding to the handwritten manuscript according to the standard font manuscript. The invention can quickly recognize the handwritten fonts of handwritten manuscripts, and the recognition accuracy is improved.

Description

technical field [0001] The invention relates to the technical field of computer recognition, in particular to a handwritten font recognition method, a handwritten font recognition system and a terminal device. Background technique [0002] At present, with the rapid development of word processing technology, many electronic devices have the function of handwriting input text, and the text of handwritten font is converted into computer text through recognition algorithm. However, most of the existing recognition methods for handwritten fonts are based on strokes or trajectories, which require accurate extraction and recognition of strokes or trajectories. Strokes are deformed or even omitted, so it is sometimes difficult to recognize handwritten characters accurately and quickly. [0003] Therefore, the existing recognition methods for handwritten fonts are difficult to meet the needs of users no matter in terms of recognition accuracy or recognition speed. Contents of...

AI Technical Summary

Problems solved by technology

However, most of the existing recognition methods for handwritten fonts are based on strokes or trajectories, which require accurate extraction and recognition of strokes or trajectories. Strokes are deformed or even omitted, so it is sometimes difficult to accurately and quickly recognize handwritten characters

[0003] Therefore, the existing recognition methods for handwritten fonts are difficult to meet the needs of users no matter in terms of recognition accuracy or recognition speed.

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