Training method of image generation model and image generation method and device
A technology of image generation and training methods, applied in biological neural network models, neural learning methods, character and pattern recognition, etc., can solve problems such as blurred bank card images and inability to be used as training sets for image-text recognition algorithms
Pending Publication Date: 2022-01-28
INDUSTRIAL AND COMMERCIAL BANK OF CHINA
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[0004] In the process of realizing the disclosed concept, the inventor found that the bank card image generated by the bank card image generation method in the related art is relatively blurred and cannot be used as a training set for the image-text recognition algorithm
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[0058] Hereinafter, embodiments of the present disclosure will be described with reference to the drawings. It should be understood, however, that these descriptions are exemplary only, and are not intended to limit the scope of the present disclosure. In the following detailed description, for purposes of explanation, numerous specific details are set forth in order to provide a thorough understanding of the embodiments of the present disclosure. It may be evident, however, that one or more embodiments may be practiced without these specific details. Also, in the following description, descriptions of well-known structures and techniques are omitted to avoid unnecessarily obscuring the concept of the present disclosure.
[0059] The terminology used herein is for the purpose of describing particular embodiments only, and is not intended to be limiting of the present disclosure. The terms "comprising", "comprising", etc. used herein indicate the presence of stated features, ...
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The invention provides a training method of an image generation model, which can be applied to the technical field of finance and the technical field of artificial intelligence. The training method of the image generation model comprises the steps that a training sample data set is acquired, the training sample data set comprises a sample image, and the sample image comprises a to-be-identified number; feature extraction is carried out on the sample images in the training sample data set, N pieces of feature data are generated, and each piece of feature data in the N pieces of feature data represents one feature of the sample images; and a to-be-trained image generation model is trained by using the N pieces of feature data and the sample image to obtain a trained image generation model, one piece of feature data being input into one corresponding generator. The invention further provides an image generation method, a training device of the image generation model, an image generation device, equipment, a storage medium and a program product.
Description
technical field [0001] The present disclosure relates to the financial field and the artificial intelligence technology field, and more specifically relates to a training method for an image generation model, an image generation method, a device, equipment, a medium, and a program product. Background technique [0002] With the development of artificial intelligence, intelligent services have gradually replaced some repetitive and mechanized manual operations. As an important part of artificial intelligence, graphic recognition plays a pivotal role in this transformation, and bank card recognition is an important part of graphic recognition. With the rise of more and more e-commerce companies, it is inevitable to bind bank cards for mobile payment and e-commerce payment, and the bank card number identification technology can quickly identify bank card information, saving users time and improving user experience , greatly improving the efficiency of banking operations. [0...
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IPC IPC(8): G06V30/148G06K9/62G06V30/19G06V10/40G06F17/14G06N3/04G06N3/08
CPCG06F17/148G06N3/088G06N3/045G06F18/214
Inventor 史晓东白杰施耀一张梦鹿
Owner INDUSTRIAL AND COMMERCIAL BANK OF CHINA