Data signature verification system

Abstract

The invention discloses a data signature verification system. A verification cloud platform is provided and is connected with all signature input devices added into the data signature handwriting verification system through a communication device. A real-time data signature input by the signature input device is uploaded to the verification cloud platform for verification. Different from a traditional single machine verification mode, all the signature input devices are connected through the verification cloud platform, user handwriting samples mastered by the single machine are placed in theverification cloud platform to be shared, and the problems that the number of the user handwriting samples mastered by the single machine is small, and samples needed for recognition training are notsufficient are solved. And the identification accuracy and the identification efficiency are greatly improved.

Description

technical field [0001] The invention relates to the technical field of information processing, in particular to a data signature verification system. Background technique [0002] With the popularization of the Internet, people communicate more and more through the Internet, and correspondingly, business activities through the Internet have also become more and more popular. The authentication method based on handwritten data signature handwriting for security verification is currently more and more widely used. [0003] The existing traditional handwriting verification mainly verifies the real-time data signature handwriting by comparing the user's handwriting samples mastered by the stand-alone machine. Since the user's handwriting samples mastered by the stand-alone machine are few, the samples required for recognition training are not sufficient. Therefore, the current Some handwritten signature verification technologies have poor recognition accuracy, low recognition ef...

AI Technical Summary

Problems solved by technology

[0003] The existing traditional handwriting verification mainly verifies the real-time data signature handwriting by comparing the user's handwriting samples mastered by the stand-alone machine. Since the user's handwriting samples mastered by the stand-alone machine are few, the samples required for recognition training are not sufficient. Therefore, the current Some handwritten signature verification technologies have poor recognition accuracy when performing identity verification, and the recognition efficiency is low, and the user experience is not good.

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