Fast and lightweight face recognition method and device, machine readable medium and equipment

Abstract

The invention discloses a rapid light-weight face recognition method, and the method comprises a face detection step: carrying out the detection of a to-be-detected video, obtaining a detection target, and obtaining a face image of the detection target; a key point extraction step: performing human face key point extraction on the human face image, and performing human face alignment based on thehuman face key points; a living body verification step: performing living body verification on a corresponding detection target based on the aligned face image; a feature value calculation step: calculating a face feature value of the face image according to the aligned face image; and a face recognition step: performing face recognition on the detection target based on the face feature value, wherein the face detection step, the key point extraction step, the living body detection step, the feature value calculation step and the face recognition step are executed asynchronously, and the living body verification step and the characteristic value calculation step are executed in parallel. According to the method and device, the living body verification step and the feature extraction step are executed in parallel, so that half of time is saved, and quick response is achieved during face recognition.

Description

technical field [0001] The present invention relates to the field of artificial intelligence, in particular to a fast and lightweight face recognition method, device, machine-readable medium and equipment. Background technique [0002] Face recognition is currently the most widely used biometric identification technology, with good characteristics such as non-contact and no cooperation. However, face recognition uses images or videos as data sources, and requires numerous steps and complex calculations, which are far less simple than voice, fingerprint, password and other data. Some classic and mature methods need to be equipped with powerful hardware facilities, which are costly and bulky, and are only suitable for a few commercial scenarios; while small identification devices such as pads and gates that have gradually emerged in recent years are slow and inaccurate. , which cannot meet the identification needs of users. Contents of the invention [0003] In view of the...

AI Technical Summary

Problems solved by technology

However, face recognition uses images or videos as data sources, and requires many steps and complex calculations, which is far less simple than voice, fingerprints, passwords and other data.

Some classic and mature methods need to be equipped with powerful hardware facilities, which are costly and bulky, and are only suitable for a few commercial scenarios; while small identification devices such as pads and gates that have gradually emerged in recent years are slow and inaccurate. , unable to meet the identification needs of users

Images