Ultrasonics face recognition method and device

Abstract

The invention relates to an ultrasonic human face distinguishing method and a distinguishing device. The distinguishing method comprises the following steps: (1) an ultrasonic signal is transmitted to an object to be distinguished; (2) an echoed signal is collected; eigenvector is drawn from the echoed signal; (3) according to the eigenvector obtained from the step (2), the distinguishing result is obtained from distinguishing and comparing identities in the established information database of the ultrasound human face; the distinguishing device comprises an ultrasonic sounder, an ultrasonic receiver, a feature extraction module, an ultrasound human face information database and an identify distinguishing module. The invention has the main advantages that very high spatial resolution is obtained; ample human face information can be extracted; the influence of the background on distinguishing humane face can be reduced; a 3D model and the human face can be separated; the deception of a picture and a video can be overcome; the data quantity can be reduced; the distinguishing speed can be increased; the device has higher discrimination; the needed ultrasonic human face database is characterized by little data quantity and is convenient for establishing large scale ultrasonic human face database.

Description

technical field [0001] The present invention relates to the technical field of pattern recognition, in particular, the present invention particularly relates to a face recognition method and recognition device based on pattern recognition. Background technique [0002] The face recognition device is a device composed of electronic and mechanical components that use the feature information of the face for identity verification. At present, the commonly used face recognition technology is based on the facial features of the face. For the input face image or video stream, it is first judged whether there is a face. If it exists, the position, size and main faces of each face are further given. The location information of the organ. And based on this information, further extract the identity features contained in each face, and compare them with known faces, so as to identify the identity of each face. [0003] However, there are many factors that affect the performance of com...

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Problems solved by technology

[0005] In order to overcome the influence of posture changes, position changes, and expression changes, a 3D face recognition system is proposed. This method can relieve the pressure caused by the above problems to a certain extent, but recovers 3D shape information from images with a single unknown light source condition. And surface reflectance is a classic visual problem, which is essentially a morbid problem. The establishment of a 3D face model requires the use of special devices, such as laser scanners, etc., and the high cost limits the promotion of this method to a large extent.

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