Method and device for generating texture image and composite image

A texture image and synthetic image technology, applied in the field of machine learning and data security, can solve the problems of lack of versatility, difficulty in covering multiple types of verification codes, poor recognition ability of recognition models for complex verification codes, etc., to improve recognition performance effect

Active Publication Date: 2020-07-10
ALIPAY (HANGZHOU) INFORMATION TECH CO LTD
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Problems solved by technology

The verification codes generated by these solutions are relatively simple, and the trained recognition models have poor ability to recognize complex verification codes; the verifica

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  • Method and device for generating texture image and composite image
  • Method and device for generating texture image and composite image
  • Method and device for generating texture image and composite image

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[0042] The solution provided by the present invention will be described below in conjunction with the accompanying drawings.

[0043] As mentioned above, the texture images generated by the existing image generation methods are simple in pattern and single in style, and the image recognition model trained with them has poor recognition ability for complex images, and is prone to overfitting problems. The recognition ability of style images. When such a simple texture image is used as the background to synthesize the verification code image, the background layer in the obtained verification code image often has strong regularity, so it is easy to separate from the text layer, which is not conducive to the recognition training of complex verification codes.

[0044]In order to solve the above-mentioned technical problems, the inventor proposes a method for generating texture images in the embodiments of this specification. The method generally forms texture images by regularly a...

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Abstract

The embodiment of the invention provides a method and device for generating a texture image and a composite image executed by a computer, and the method comprises the steps: applying a basic graphic function to a coordinate value of any first position in a to-be-generated image, and obtaining a basic value; for the first position, generating a disturbance noise value at least according to the noise disturbance function; applying an adjustment function to the sum of the basic value and the disturbance noise value to obtain a pixel value of the first position; and generating a texture image according to the pixel value of each position. By using the method, a large number of complex, non-repeated and low-cost texture images are generated, and the method can be used for training an image recognition model. A composite image can be generated by combining the texture image and the text image, and position information of each text in the composite image is recorded as text position label data of the composite image. And the synthesized image is used as a verification code to train a verification code recognition model, so the recognition capability of the recognition model is effectivelyimproved.

Description

technical field [0001] One or more embodiments of this specification relate to the fields of machine learning and data security, and in particular, to a method and device for generating texture images and composite images. Background technique [0002] In many image recognition projects, it is necessary to use a large number of complex and non-repetitive images to train the image recognition model to enhance its recognition ability. This requires an automatic image generation method to generate the required images in large quantities. The images generated by the existing image generation methods are relatively simple, and the style is relatively single. The recognition model trained with such images has poor recognition ability for complex images and is prone to overfitting problems, that is, the image style for effective recognition It is relatively single and does not have the ability to recognize images of various types and styles. Therefore, there is a need for a metho...

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Application Information

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IPC IPC(8): G06T3/00G06T3/40
CPCG06T3/0012G06T3/4007
Inventor 赵文龙
Owner ALIPAY (HANGZHOU) INFORMATION TECH CO LTD
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