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Human face recognition method based on blink detection

A face recognition and detection algorithm technology, applied in the field of face recognition, can solve the problems of poor positioning effect, poor detection of human eye edges, low matching degree of faces, and inability to distinguish whether it is a living person or a photo, etc. Light detection conditions, good adaptation effect

Active Publication Date: 2017-05-17
BEIJING JIAOTONG UNIV
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AI Technical Summary

Problems solved by technology

[0014] ① Most of the face recognition software in the existing technology can also pass the verification by using the photos of the registrants, and cannot distinguish whether it is a living person or a photo, which greatly reduces the security of face recognition
In low light, the positioning effect of ASM on the human eye and the edge detection effect of Canny on the human eye are not good.
[0016] ③Unable to recognize faces well under low-light conditions
[0017] ④ Existing algorithms do not have high face matching in different lighting environments

Method used

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  • Human face recognition method based on blink detection
  • Human face recognition method based on blink detection
  • Human face recognition method based on blink detection

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Embodiment Construction

[0046] Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary only for explaining the present invention and should not be construed as limiting the present invention.

[0047] Those skilled in the art will understand that unless otherwise stated, the singular forms "a", "an", "said" and "the" used herein may also include plural forms. It should be further understood that the word "comprising" used in the description of the present invention refers to the presence of said features, integers, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, Integers, steps, operations, elements, components, and / or groups thereof. It will be understoo...

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Abstract

The invention provides a human face recognition method based on blink detection. The method comprises the steps: taking a picture of a user through a camera, and detecting a human face image from the picture of the user through a human face detector; carrying out the matching of the human face image with a pre-stored registered human face image through a human face matching algorithm, and determining that the human face is registered when the similarity of the matching result is greater than a set matching threshold value; detecting whether a plurality of user images have the blink phenomenon or not through a blink detection algorithm, and determining that the user images are the images of a living body if the user images have the blink phenomenon. The method can detect whether the detected object is a picture, a sculpture or a living body well through blink detection. Compared with an ASM+Canny blind detection method which is higher in requirements for light, the method carries out the differential processing of the image through the morphology, and can be well suitable for a weak light detection condition.

Description

technical field [0001] The invention relates to the technical field of face recognition, in particular to a face recognition method based on blink detection. Background technique [0002] Face recognition technology is a popular computer application research technology, which belongs to biometric identification technology, and distinguishes individual organisms through the biological characteristics of the organism itself. Face recognition is the most natural and visual biological identification method, which is in line with human's own physiological visual habits. With the development of face recognition technology, the accuracy and reliability will be greatly improved. Now it has a very wide range of applications, including public security, security, customs, finance, military, airport, security and other important industries and fields, as well as civilian markets such as smart access control and time attendance. The market application prospect is very broad. [0003] F...

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Application Information

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IPC IPC(8): G06K9/00
CPCG06V40/161G06V40/45
Inventor 金一蔡斯琪迟威罗瑞琪
Owner BEIJING JIAOTONG UNIV
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