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Face recognition method and system based on large-scale face database

A face recognition, large-scale technology, applied in the field of face recognition, can solve the serious problems of recognition time and recognition rate, achieve the effect of improving speed and performance, and facilitating application

Active Publication Date: 2015-10-14
SHANGHAI JUNYU DIGITAL TECH
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Problems solved by technology

[0002] At present, in the field of face recognition technology, the number of face databases used is no more than 10 million. In practical applications, such as establishing provincial or regional face databases, the order of magnitude is often tens of millions or even hundreds of millions. The current face recognition technology On such a large-scale face database, there are serious problems in recognition time and recognition rate

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Embodiment 1

[0091] see figure 1 , the present invention discloses a face recognition method based on a large-scale face database, and the detection method includes the following steps:

[0092] [Step S1] Acquiring a recognition image;

[0093] [Step S2] Image preprocessing step: the image to be detected is processed by light compensation, gray scale, filter denoising and normalization, etc., to obtain a high-quality gray scale image;

[0094] [Step S3] Face detection step: detect and locate the face from the scene image, and separate the face from the background. Calculate the Haar-Like wavelet feature of the image, and pass it to the multi-layer cascaded AdaBoost classifier trained offline for judgment; if there is a face image that fails the detection, the face image to be detected is used as a sample training classifier, and the online automatic Update the classifier.

[0095] Multi-layer cascaded AdaBoost classifier offline training process:

[0096]The training samples are divide...

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Abstract

The invention discloses a face recognition method and system based on a large-scale face database. The recognition method comprises the following steps: obtaining a recognition image; image preprocessing: carrying out illumination compensation, graying, filtering denoising and normalization processing on an image to be detected to obtain a high-quality grey level image; face detection: detecting and positioning a face in a scene image, and separating the face from a background; characteristic extraction and expression: describing and modeling a face mode, and expressing the face by a characteristic vector; face matching: utilizing a similarity between the characteristic vector used for calculating the face image to be detected and a training sample to obtain discrimination information; and outputting a result. The face recognition method and system based on the large-scale face database not only improves the speed and the performance of face recognition under a large-scale database. Meanwhile, the face recognition method and system can be conveniently applied to the recognition field of other modes including facial expression recognition, face tracking and the like.

Description

technical field [0001] The invention belongs to the technical field of face recognition, and relates to a face recognition method, in particular to a face recognition method based on a large-scale face database; at the same time, the invention also relates to a face recognition method based on a large-scale face database. recognition system. Background technique [0002] At present, in the field of face recognition technology, the number of face databases used is no more than 10 million. In practical applications, such as establishing provincial or regional face databases, the order of magnitude is often tens of millions or even hundreds of millions. The current face recognition technology On such a large-scale face database, there are serious problems in recognition time and recognition rate. [0003] In view of this, there is an urgent need to design a new face recognition method in order to overcome the above-mentioned defects of the existing recognition methods. Conte...

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Application Information

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IPC IPC(8): G06K9/00G06K9/62
Inventor 白雪松夏嫣
Owner SHANGHAI JUNYU DIGITAL TECH
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