Fraud detection method based on face color space and metric analysis

A color space and detection method technology, applied in the field of face recognition, can solve problems such as poor recognition effect, and achieve the effect of excellent system recognition rate, good real-time performance and high stability

Pending Publication Date: 2019-07-05
JIANGNAN UNIV
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The technical introduction is efficient, but when the quality distortion is not serious for high-d

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  • Fraud detection method based on face color space and metric analysis
  • Fraud detection method based on face color space and metric analysis
  • Fraud detection method based on face color space and metric analysis

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[0052] In order to make the above objects, features and advantages of the present invention more obvious and comprehensible, specific implementations of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0053] In the following description, a lot of specific details are set forth in order to fully understand the present invention, but the present invention can also be implemented in other ways different from those described here, and those skilled in the art can do it without departing from the meaning of the present invention. By analogy, the present invention is therefore not limited to the specific examples disclosed below.

[0054] Second, "one embodiment" or "an embodiment" referred to herein refers to a specific feature, structure or characteristic that may be included in at least one implementation of the present invention. "In one embodiment" appearing in different places in this specification does not all refer to ...

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Abstract

The invention discloses a fraud detection method based on face color space and metric analysis. The method is an identification model designed by aiming at a printed photo as a fraud means, wherein the original image is an RGB three-channel color image, and the method is characterized by converting the original image into a plurality of color spaces through color space conversion, and then extracting the LBP local texture features to obtain a texture map of each color space. All the feature maps are subjected to a metric analysis training algorithm to obtain a projection mapping matrix, the feature maps can be mapped and projected to a more discriminative feature space through calculation, and finally, all the statistic features are merged and sent to the convolutional neural network to calculate a classification result. The method solves the common problems that an existing fraud detection technology is not high in recognition efficiency and prone to noise interference and the like.

Description

technical field [0001] The invention relates to the technical field of face recognition, in particular to a fraud detection method based on face color space and metric analysis. Background technique [0002] A common security risk in today's face recognition systems is that they are vulnerable to face spoofing attacks. For example, in an access control system, an external attacker can wear a mask or print a photo to pass through the camera's face recognition system. Therefore, designing an efficient and robust face fraud detection algorithm has become an important part of designing a face recognition system. In application scenarios such as financial payment and access control, fraud detection is generally a module embedded in face detection and face recognition to verify whether the user is real. Fraud detection can be regarded as a binary classification problem (true or false). Therefore, finding the sample difference between legitimate users and fraudulent attackers, des...

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Application Information

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IPC IPC(8): G06K9/00
CPCG06V40/168G06V40/172G06V40/45Y02T10/40
Inventor 宋晓宁陈酉明
Owner JIANGNAN UNIV
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