Biological recognition method and system combining face and gestures

Abstract

The invention discloses a biological recognition method and system combining a face and gestures. The biological recognition method combining the face and the gestures comprises the steps that (1) a face image and a gesture image are collected for background modeling; (2) the positions of eye pupils are positioned on the face image after the background modeling, the size of a face area is calculated according to the distance between the eye pupils, and then normalization processing is carried out on the face image; (3) the central coordinates of features of the five sense organs in the normalized face image are calculated according to the positions of the positioned eye pupils, and the face image is divided into F face areas; (4) the features of the gesture image after the background modeling are described, a feature subspace of the gesture image is built, and the gesture image is divided into M types; (5) F*M face-gesture modes are built according to the F selected face areas and the M types of gesture recognition images in the step (4); if the eyes of a user open and close continuously for N times, F*M*N face-gesture modes are further built.

Description

technical field [0001] The invention relates to the technical field of image processing, relates to a biometric identification method combining human face and gesture, in particular to a biometric identification method combining human face and gesture. Background technique [0002] With the rapid popularization of smart phones, smart TVs, tablet computers, and vehicle-mounted intelligent systems, the interaction between people and smart terminals has become an important part of people's daily life. In this case, more natural and convenient human-computer interaction technologies based on voice, face, and gestures have developed rapidly. [0003] Face recognition technology provides a natural method of human-computer interaction. Human face is the most common pattern in human vision, and it is the easiest to be accepted by humans. The visual information represented by the human face plays an important role and significance in social communication. At present, although appl...

AI Technical Summary

Problems solved by technology

[0005] To sum up, whether it is face or gesture, its recognition effect is not ideal yet.

Studies have found that a single biological feature (such as face, hand shape, fingerprint, etc.) contains limited information, which cannot meet the diverse needs of people

Although fingerprints and irises have a large amount of information content, the recognition rate of existing fingerprint authentication systems is not optimistic for low-quality fingerprint images. Therefore, for some key applications, a single biometric identification system is difficult to meet people's needs.

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