Handwritten font recognition method, system and terminal device

Abstract

The invention discloses a handwritten font recognition method, a system and a terminal device, wherein, the method comprises the following steps: obtaining handwritten font characters written by a user, extracting features of the handwritten font characters to obtain feature information of the handwritten font characters, and creating a text library according to the feature information of the handwritten font characters; collecting an image of a handwritten manuscript and processing the image of the handwritten manuscript to obtain characteristic information of each handwritten font character;Selecting a mapping relation set of the user corresponding to the author of the handwritten manuscript in the text library, and matching the feature information of each handwritten font character inthe handwritten manuscript by calling the selected mapping relation set to obtain a standard font character corresponding to each handwritten font character; a standard font script corresponding to the handwritten manuscript is generated according to the standard font script corresponding to each handwritten font script. The invention can quickly recognize handwritten fonts of handwritten manuscripts, and the recognition accuracy is greatly 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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