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Methods and devices for face characteristic extraction and authentication

A face feature and extraction method technology, applied in the authentication method and device, and the field of face feature extraction, can solve problems such as high complexity, large amount of data, and poor performance of face recognition methods, so as to simplify complexity and improve The effect of precision and accuracy

Active Publication Date: 2014-03-19
BEIJING EYECOOL TECH CO LTD +1
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Problems solved by technology

However, the biggest problem with this method is that the amount of data is very large. A Gabor kernel using 5 scales and 8 directions will turn a photo into 40 features, which increases the complexity of storage and calculation.
[0012] For the problems of poor performance and high complexity of face recognition methods in related technologies, no effective solutions have been proposed so far

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  • Methods and devices for face characteristic extraction and authentication
  • Methods and devices for face characteristic extraction and authentication
  • Methods and devices for face characteristic extraction and authentication

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Embodiment Construction

[0047] Hereinafter, the present invention will be described in detail with reference to the drawings and examples. It should be noted that, in the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined with each other.

[0048] According to an embodiment of the present invention, a method for extracting human face features is provided. figure 1 It is a flowchart of a method for extracting facial features according to an embodiment of the present invention, such as figure 1 As shown, the method includes:

[0049] Step S102, performing two-dimensional Hilbert (ie 2D Hilbert) transformation on the acquired face image; and

[0050] In step S104, the face image after the two-dimensional Hilbert transform is represented by a two-dimensional analysis signal.

[0051] Through the above steps, the method of "carrying out two-dimensional Hilbert transform on the acquired face image, and representing the face image after two...

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Abstract

The invention discloses methods and devices for face characteristic extraction and authentication. The face characteristic extraction method comprises steps that: two-dimensional Hilbert transformation on an acquired face image is carried out; the face image after two-dimensional Hilbert transformation is expressed in a mode of a two-dimensional parsing signal. Through the methods and the devices, technical problems of poor performance and high complexity existing in a face identification method in the prior art are solved, complexity of system realization is simplified, and accuracy and precision of the system are improved.

Description

technical field [0001] The invention relates to the field of image processing and pattern recognition, in particular to a method and device for extracting and authenticating facial features. Background technique [0002] With the popularization of the network and the rapid development of information technology, the issue of information security has attracted more and more attention, and has become a key issue that must be solved in the development of technology. Among them, how to accurately authenticate a person's identity information is an important part of the information security field. [0003] Face authentication is a form of biometric identification. By effectively characterizing the face, the features of two face photos are obtained to determine whether the two photos are the same person. Compared with other biometric authentication technologies, it has the characteristics of friendliness, convenience, and non-invasiveness. Therefore, face authentication technology...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/46G06K9/00G06F21/32
CPCG06F21/32G06V40/168G06V10/451
Inventor 江武明张祥德王宁郑金增李倩颖张芹芹
Owner BEIJING EYECOOL TECH CO LTD
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