Face recognition method and device

Abstract

The invention provides a face recognition method and device. The face recognition method comprises the steps that a face image to be recognized is acquired; face features to be recognized in the face image to be recognized are extracted; face recognition is performed on the face image to be recognized based on historical libraries according to the face features to be recognized, wherein the historical libraries are the libraries created for saving the face features completing face recognition; and if the matching result is not acquired based on the historical libraries, face recognition is performed on the face image to be recognized based on a normal library used for performing face recognition according to the face features to be recognized. According to the face recognition method and device, the historical libraries for saving the face features completing face recognition are created to act as the preference of the libraries of the face recognition process so that the situation that the same or similar images completing face recognition are repeatedly searched and compared in the huge normal library again can be avoided and the efficiency of face recognition can be greatly enhanced.

Description

Technical field [0001] The present invention relates to the technical field of face recognition, and more specifically to a face recognition method and device. Background technique [0002] Face recognition is a kind of biometric recognition technology based on human facial feature information. Face recognition usually includes face image acquisition and detection, face image preprocessing, face image feature extraction, and matching and recognition. Among them, the process of face image matching and recognition is to search and match the feature data of the extracted face image with the feature template stored in the base library. By setting a threshold, when the similarity exceeds this threshold, the matching result The result is output. [0003] However, in the current technology, when performing face recognition on a picture, it is necessary to compare all pictures in the base library with the picture one by one, and then when the same picture (or similar picture) is input ag...

AI Technical Summary

Problems solved by technology

[0003] However, in the current technology, when performing face recognition on a picture, it is necessary to compare all the pictures in the base library with the picture one by one, and then when the same picture (or similar pictures) is input again for recognition, It will still search and compare all the pictures in the bottom library as it did when it was recognized last time. Such repeated searches will consume a lot of time, especially when searching and comparing in a static super large library, this time consumption will be even greater. serious

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