Method and system for identifying characteristic face in dual-dynamic detection manner

Abstract

The invention discloses a method for identifying a characteristic face in a dual-dynamic detection manner. The method comprises the following steps of: 1, pre-establishing a face template of a required user; 2, detecting movement of a user to be identified, and judging an environmental factor; 3, irradiating a face region by starting infrared illumination with corresponding irradiation conditionsaccording to the environmental factor; 4, acquiring a plurality of face signals with colorful pictures and infrared pictures under the infrared illumination with different irradiation conditions, andscreening the face signals; 5, preprocessing the screened face signals, extracting a characteristic range and converting the characteristic range into a face code, and discarding residual data in theface signals; 6, analyzing colorful picture data and infrared picture data of the same face signal face code and merging two analysis results to generate a temporary face template; and 7, carrying out similarity comparison on the temporary face template and the pre-established face template, wherein when the similarity reaches a preset threshold, the identification is successful, otherwise, the identification is failed.

Description

technical field [0001] The invention relates to the technical field of human face recognition, in particular to a method and system for double dynamic detection biometric human face recognition. Background technique [0002] Facial facial recognition is one of many biometric recognition technologies. Its advantages lie in non-contact, safe and fast, convenient use and irreplaceability. As long as the part of the face in the video or picture is obtained, it can be compared and identified. , and without the limitations of other biometric technologies. The current technical level is generally used in some notebook computers as user login, attendance and access control systems, but because this technology is still to be developed, most of the existing face-face products on the market need to be used together with other complementary means such as fingerprints and IC cards , and face recognition is generally only auxiliary as one of the means to improve the accuracy rate in the ...

AI Technical Summary

Problems solved by technology

[0003] The calculation methods of face recognition are similar, and most of them can be accurately recognized under the condition of obtaining high-quality face pictures, but because the face is dynamically moving when facing the camera, and there are real-time changes in expression, angle, lighting and background, etc. In this case, it means that the user’s behavior cannot be restricted like a fingerprint machine. Instead, it must be broadly inclusive and adaptable. In the case of using facial recognition technology independently, it will face great difficulties and contradictions. Under the circumstances, it is necessary to require the user's facial expression to be stable and consistent for a long time before they can pass, but it is impossible to strictly control the dynamic crowd, otherwise most users will not be able to pass the recognition

On the other hand, the disadvantage is that the product is aimed at the contrast method of single-lens color pictures. Such products can even use photos to get away with it.

Therefore, the use of infrared cameras has been further developed to prevent photos from being fooled, but at the same time it brings new problems and disadvantages that it cannot be used normally in sunny environments, because the powerful infrared rays emitted by the sun affect the normal work of infrared cameras.

Therefore, the calculation method of face recognition must be intelligent enough to accommodate dynamic user and environmental changes, but existing technologies and products are still unable to achieve

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