Three-dimensional (3D) intelligent face identification system

Abstract

The invention discloses a 3D intelligent face identification system which comprises a structured light imaging module, a color image collection module, a first temperature sensor, a database and a central processing module, the output ends of the structured light imaging module, the color image collection module and the first temperature sensor are all connected with the input end of the central processing module, and the central processing module is connected with the database. According to the system, structured light of the structured light imaging module is coded and introduced into the 3Dcharacteristic of depth, and the color image collection module and the central processing module are used cooperatively to realize 3D face identification, the identification correct rate is higher, the identification effect can be ensured under the condition that ambient light changes unstably, and the application range is wider; the first temperature sensor is arranged additionally and cooperates with the central processing module to identify whether the face to be identified is a real face, and the safety level is higher; and the system can be widely applied to the field of biological characteristic identification.

Description

technical field [0001] The invention relates to the field of biological feature recognition, in particular to a three-dimensional intelligent face recognition system. Background technique [0002] The human body has many unique features, such as face, fingerprints, iris, ears, etc. These features are collectively referred to as biometrics. Biometric identification has been widely used in many fields such as security, home furnishing, and smart hardware. Face recognition, as a kind of biometric recognition, is a biometric technology for identification based on human facial feature information. It uses a camera or a camera to collect images or video streams containing faces, and automatically detects and tracks faces in the images, and then performs a series of related technologies on the detected faces, usually also called portrait recognition and facial recognition. . Utilizing face recognition technology can effectively enhance security and privacy. [0003] The current...

AI Technical Summary

Problems solved by technology

[0004] (1) It is necessary for the person to be identified to face the camera to obtain an image at the same angle as the two-dimensional image in the database, otherwise it will be difficult to obtain the correct comparison result, and the recognition accuracy rate is low;

[0005] (2) The recognition is mainly based on the two-dimensional color image of the face. When used in the case of unstable and changing ambient light, there will be problems such as large data deviation and data loss, which seriously affect the recognition effect;

[0006] (3) Recognition is mainly based on two-dimensional color images of faces. When the camera scans and recognizes, the recognized object cannot be in a moving state, and cannot be used for three-dimensional face recognition in a moving state, and its applicability is not wide;

[0007] (4) Failing to recognize whether it is a real human face or not, it is easy to be deceived by other non-real human face features, for example, when the recognized object is not a real human face, but a three-dimensional model face (such as a non-real human face such as a photo or video), It can often be identified, and the security needs to be further improved

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