Face identification method and device as well as mobile terminal

Abstract

The invention discloses a face identification method, a face identification device and a mobile terminal, and belongs to the field of identification of biological features. The face identification method comprises the following steps of acquiring a visible light face image set through a double-light-ray induction camera according to a preset acquisition rule; acquiring an infrared face image set through the double-light-ray induction camera according to the preset acquisition rule; judging whether a face template image matched with any one of face images in the visible light face image set and the infrared face image set exists on a home terminal; and when the face template image exists on the home terminal, passing through the face identification. According to the face identification method, due to the face identification by the double-light-ray induction camera, face image acquisition and face identification can be realized under different environment light ray conditions, and the accuracy of face identification is improved; and furthermore, the mobile terminal does not need to be provided with a plurality of cameras, so that the hardware space is saved, the performance-to-cost ratio is improved, and a user can carry and operate the mobile terminal conveniently.

Description

technical field [0001] The present invention relates to the field of biological feature recognition, in particular to a face recognition method, device and mobile terminal. Background technique [0002] With the development of terminal technology and biometric identification technology, more and more mobile terminals can apply face recognition technology to realize multiple functions such as screen unlocking, identity recognition, and login verification. When performing face recognition, the mobile terminal uses the configured camera equipment to collect face images in real time, and perform matching and recognition with pre-collected template images. When the collected face images match the template images, the verification is passed. [0003] However, face recognition will be affected by ambient light. In a dark or bright environment, the ambient light is different from the ambient light when the template image was collected in advance, which may easily cause the camera eq...

AI Technical Summary

Problems solved by technology

[0006] The mobile terminal needs to be equipped with visible light camera equipment and infrared light camera equipment at the same time, which has high requirements on hardware. In order to realize the acquisition and face recognition under different ambient light conditions, the hardware cost will inevitably increase, and multiple camera equipment will be configured. It will make the volume of the mobile terminal larger, which will bring inconvenience to the user for carrying and operating the mobile terminal

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