Method for realizing automatic identification of sliding verification code based on control of webpage element attributes

Abstract

The invention discloses a method for realizing automatic identification of a sliding verification code based on control of webpage element attributes. The method comprises the following steps: S1, hiding a second sliding block picture, and intercepting a first background picture; S2, modifying element color attributes of the first background picture, and intercepting a second sliding block picture; S3, performing full-image circular scanning, comparing the color difference value of the first picture and the second picture, and judging whether the color difference value is equal to a preset color difference value; and S4, outputting a transverse movement distance value distance, and dragging the sliding blocks for splicing. The problems that an existing sliding verification code recognition technology is inaccurate in recognition, complex in recognition process and low in recognition efficiency under complex conditions are solved, so the purposes that the sliding block verification code is automatically recognized, the recognition method is simplified, the recognition accuracy and efficiency are improved, and the automatic test login efficiency is improved are achieved.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to a method for realizing automatic identification of sliding verification codes based on controlling the attributes of web page elements. Background technique [0002] Sliding verification codes are more difficult to identify than graphical verification codes. Sliding verification codes need to be dragged and combined to complete the verification. The main verification method is to drag the sliders to crack the image. If the image is completely stitched together, the verification is successful, that is, the form is successfully submitted, otherwise it needs to be re-validated. [0003] The existing sliding verification code identification methods are usually: first, use a deep learning model for identification, which requires a high amount of calculation and complex technical implementation; For the complex color of the picture and the recognition of different pictures, because ...

AI Technical Summary

Problems solved by technology

[0003] The existing sliding verification code identification methods are usually: first, use a deep learning model for identification, which requires a high amount of calculation and complex technical implementation; For the complex color of the picture and the recognition of different pictures, because the color difference of different pictures is often not fixed or deviates within a certain range, it cannot accurately identify the stitching position of the slider image, the recognition rate is not high, and the efficiency is low.

Therefore, the use of existing image recognition technology will lead to login failure during the automated login process, which cannot meet the requirements of efficient identification. Based on the above reasons, it is necessary to use control page element attributes to realize automatic identification of sliding verification codes and improve the efficiency of automated test logins. efficiency

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