Handwriting color graph characterization method and device based on electronic signature, medium and method

Abstract

The invention provides a handwriting color graph characterization method based on an electronic signature, which comprises the following steps: receiving electronic handwriting data corresponding to a target electronic signature, the electronic handwriting data comprising position coordinate data; importing the position coordinate data into a preset two-dimensional coordinate axis to obtain an electronic signature pen mark image corresponding to the target electronic signature; extracting pen wielding direction features corresponding to handwriting in the electronic signature pen mark image according to preset eight-direction SOBEL operator templates, and assigning preset colors corresponding to the SOBEL operator templates in all directions to the corresponding pen wielding direction features to obtain a pen wielding direction color graph corresponding to the target electronic signature. According to the handwriting color graph characterization method based on the electronic signature, the pen wielding direction, the pen wielding speed, the pen force change and the color are combined to obtain the pen wielding direction color graph and the speed change color graph corresponding to the target electronic signature feature, so that the electronic signature can be compared more visually; and the identification accuracy of the electronic signature is improved.

Description

technical field [0001] The invention relates to the field of electronic signature identification, in particular to a method, device, medium and method for characterizing handwriting color map based on electronic signature. Background technique [0002] With the development of office networking and e-commerce, electronic signatures are used more and more frequently in administrative, financial, commercial and judicial documents. When the disputed facts enter the litigation process, these documents usually become important evidential materials, and the handwriting of the relevant personnel left in them usually becomes a very important evidential issue-the question of the authenticity of the handwriting. Therefore, electronic signature identification has become a task with practical application scenarios. Usually, the electronic signature image data is relatively sparse. Except for the signature pen marks, most of the area is the background. How to extract valid information fro...

AI Technical Summary

Problems solved by technology

[0003] At present, the team's processing methods for electronic signatures mainly involve the comparison of the characteristics of electronic signature handwriting and ordinary signature handwriting, the feasibility of quantitative inspection of electronic signature handwriting, and the Excel table analysis method of electronic data in electronic signature handwriting, etc. The characteristics and colors are combined, and the intuition and convenience of practical application are not considered.

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