Image processing method and device, electronic equipment and storage medium

An image processing and image technology, applied in the field of image processing, can solve the problems of training a face anti-counterfeiting model, unclear data distribution, prone to overfitting, etc., and achieve the effect of high recognition accuracy
CN110956080APending Publication Date: 2020-04-03JD DIGITS HAIYI INFORMATION TECHNOLOGY CO LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
JD DIGITS HAIYI INFORMATION TECHNOLOGY CO LTD
Publication Date
2020-04-03

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Abstract

The invention relates to an image processing method and device, electronic equipment and a storage medium. A face recognition model is obtained by pre-training a large number of color face image samples; based on the face recognition model, the face features in the image can be accurately recognized, a relatively small number of infrared face image samples are continuously trained by adopting theface recognition model, and the distinguishing features of the true and false faces in the positive and negative samples in the infrared face image samples are learned, so that the face anti-counterfeiting model for recognizing the true and false of the infrared face image is obtained through training. Therefore, the problem of overfitting of a small data set training model can be avoided, so thatthe finally trained face anti-counterfeiting model is relatively high in recognition accuracy.
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Description

technical field

[0001] The present application relates to the field of image processing, and in particular to an image processing method, device, electronic equipment and storage medium. Background technique

[0002] With the advent of the era of artificial intelligence, various AI applications emerge in an endless stream, such as object detection, object recognition, face recognition, automatic drive, etc., which have profoundly affected the development of the industry. In particular, the face recognition technology based on deep learning has been rapidly industrialized, such as face recognition payment, check-in, station ID comparison and so on. Considering that these scenarios have certain requirements for security, and as a feature, face is easier to obtain than passwords and fingerprints in traditional fields, which intensifies everyone's demands for face recognition security. Therefore, face anti-counterfeiting technology also came into being.

[0003] At present, th...

Claims

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