Air handwriting identification method and device
A handwriting recognition and to-be-recognized technology, applied in the field of intelligent human-computer interaction, can solve problems such as large amount of calculation, low recognition efficiency, and difficulty in aerial handwriting recognition, and achieve the effect of simple calculation and high recognition efficiency.
Active Publication Date: 2017-04-26
CAPITAL NORMAL UNIVERSITY
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However, the structural variation of in-air handwritten Chinese characters is more abundant than that of traditional handwriting, which also makes online recognition of in-air handwriting more challenging.
[0003] In the prior art, due to the large number of categories of online Chinese character recognition, the amount of calculation in the process of online handwriting recognition in the air is very large, making the recognition efficiency very low, so it is difficult to realize online handwriting recognition in the air
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[0047] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are some of the embodiments of the present invention, but not all of them. The components of the embodiments of the invention generally described and illustrated in the figures herein may be arranged and designed in a variety of different configurations. Accordingly, the following detailed description of the embodiments of the invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely represents selected embodiments of the invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.
[0048] It should be noted that l...
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The invention provides an air handwriting identification method and device applied to a user terminal. The method comprises steps that to-be-identified gesture locus is acquired; a coordinate sequence of the to-be-identified gesture locus is acquired, and characteristic sets of the coordinate sequence in multiple directions are extracted; dimension reduction for the characteristic sets of the coordinate sequence in multiple directions is carried out to acquire preset-dimension characteristic sets after dimension reduction; the preset-dimension characteristic sets are inputted to a classifier, and the classifier comprises multiple sub classifiers; sparse coding coefficients of the preset-dimension characteristic sets in the sub classifiers of the classifier are calculated through the classifier; reconstruction errors between the preset-dimension characteristic sets and the sub classifiers are respectively acquired according to the sparse coding coefficients and the sub classifiers corresponding to the sparse coding coefficients; the reconstruction errors are orders, and an identification result is outputted. The method is advantaged in that online air handwriting identification can be realized, and simple calculation and high identification efficiency are realized.
Description
technical field [0001] The invention relates to the field of intelligent human-computer interaction, in particular to a method and device for recognizing handwriting in the air. Background technique [0002] With the development of 3D somatosensory interaction technology, aerial handwritten Chinese character recognition is becoming a new hotspot in the field of intelligent human-computer interaction research. Compared with traditional online handwriting, handwriting in the air is more natural and convenient by using motion sensing devices. However, the structural variation of in-air handwritten Chinese characters is more abundant than traditional handwriting, which also makes online recognition of in-air handwriting more challenging. [0003] In the prior art, due to the large number of categories of online Chinese character recognition, the amount of calculation in the process of online recognition of handwriting in the air is very large, making the recognition efficiency ...
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IPC IPC(8): G06K9/00G06K9/62
CPCG06V30/36G06V30/10G06F18/285G06F18/214
Inventor 周建设王伟强吕科史金生刘杰
Owner CAPITAL NORMAL UNIVERSITY