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An Acoustic-based Handwritten Signature Recognition Method

A handwritten signature and recognition method technology, applied in the direction of sound wave re-radiation, instruments, measuring devices, etc., can solve problems such as difficult to identify signatures, achieve accurate recognition, broad application prospects, and easy to use

Active Publication Date: 2022-07-01
SHENZHEN UNIV
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  • Abstract
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  • Claims
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AI Technical Summary

Problems solved by technology

When a skilled forger has been practicing forging that signature for some time, it is very difficult for a person to recognize that the signature is forged

Method used

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  • An Acoustic-based Handwritten Signature Recognition Method

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Embodiment Construction

[0026] In order to make the purposes, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments These are some embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention. 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 invention as claimed, but is merely representative of selected embodiments of the invention.

[0027] see figure 1 , an acoustic-based handwritten signature recognition method...

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Abstract

The invention relates to the fields of voice recognition technology and motion signal recognition technology, and in particular relates to an acoustic-based handwritten signature recognition method, which mainly includes the following steps: S1: collect data; S2: calculate signature trajectory; S3: feature extraction and model training; S4: collect data from the user to be verified, calculate the signature trajectory, and extract features, and use the extracted features as the data to be verified; S5: compare the data to be verified with the recognition model to determine authenticity. The present invention only utilizes the common acoustic components in the existing smart devices, and calls them at the software level without additional hardware support. In addition, the method is convenient to use, can accurately identify legal signatures and illegal signatures, and can be very easy to use. It can reduce the cost of handwritten signature recognition and solve problems such as inconvenience in use, and has a very broad application prospect.

Description

technical field [0001] The present invention relates to the fields of sound recognition technology and motion signal recognition technology, in particular to an acoustic-based handwritten signature recognition method. Background technique [0002] Handwritten signatures are often used to authorize legal identity and represent consent, approval, responsibility, or obligation, and sometimes have the effect of legal effect, imparting authenticity to a document. In finance, for example, banks use handwritten signatures as a way to confirm services such as large-value transactions. According to the survey of business types in China's financial market, most of the business people in China's banks who need identity confirmation still use handwritten signatures as a way to recognize the service agreement on behalf of the service object. Handwritten signatures will remain one of the mainstream authentication methods for the foreseeable future. The device used to implement handwriti...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01S15/58
CPCG01S15/58
Inventor 伍楷舜陈孟奇林佳伟邹永攀
Owner SHENZHEN UNIV
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