Method, computing device and computer storage medium for generating an electronic signature

Abstract

The present disclosure relates to a method, computing device, and computer storage medium for generating an electronic signature. The method includes: acquiring a moving path of an input object on an electronic canvas of a terminal device for calculating a total length of the moving path; in response to determining that the total length of the moving path is greater than or equal to a predetermined length threshold, generating a signature image based on the moving path data; determine the feature points of the strokes included in the moving path, the feature points include at least the starting point, the ending point and the turning point of the strokes; obtain the user ID associated with the order, in order to extract the corresponding text of the user ID in the predetermined font library feature information; based on the feature points and the feature information, calculating the similarity between the strokes included in the movement path and the strokes of the corresponding text; and in response to determining that the similarity meets a predetermined condition, appending the signature image data to the document about the order. The present disclosure can securely and conveniently realize remote electronic signature confirmation.

Description

technical field [0001] The present disclosure relates generally to information processing, and in particular, to methods, computing devices, and computer storage media for generating electronic signatures. Background technique [0002] Paperless operations are becoming more and more popular nowadays. For example, users use electronic sketchpad signature tools or electronic canvas of terminal devices to perform handwritten signatures to generate documents with electronic signatures, which are then used as part of transactions (such as but not limited to car rental services). A confirmation document (such as an electronic contract for the rental car with an electronic signature). [0003] The traditional solution for generating an electronic signature is, for example, to collect the touch movement path in the process of the user's handwritten signature, and then manually confirm the displayed movement path, save the collected movement path as a signature picture and upload it ...

AI Technical Summary

Problems solved by technology

However, in the signing process, it is inevitable that there will be problems such as irregular signatures, false signatures without signatures, too small or too scribbled to be difficult to recognize, and incomplete signatures. Therefore, if there is no manual confirmation on site or the site personnel are too busy If the signature is not confirmed, the system cannot know whether the signature is included in the signature image or whether the included signature is standardized, so it is easy to cause the problem of invalid signature, which will bring hidden dangers to transaction security

The traditional OCR recognition method is more used for text matching of precise written fonts (such as prints), and user handwritten fonts are very different from standard prints, so the accurate recognition rate of handwritten fonts is low, and The calculation speed is slow, and it is difficult to replace the link of manually confirming the signature

[0004] In summary, the traditional schemes for generating electronic signatures have the disadvantages that they cannot be separated from human-assisted confirmation, and there are hidden dangers in transaction security.

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