Face recognition method and system based on deep convolutional neural network

A face recognition system and neural network technology, which are applied in the field of face recognition methods and systems based on deep convolutional neural networks, can solve the problems of increasing the delay of feedback results and poor accuracy, and improve the recognition accuracy, The effect of improving accuracy and saving manpower and material resources

Active Publication Date: 2020-11-24
珠海市卓轩科技有限公司
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Problems solved by technology

[0003] As a subsystem of face recognition, face age recognition usually puts age calculation on mobile devices. Considering the computing performance of its hardware, it adopts a non-deep learning mechanism with poo

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  • Face recognition method and system based on deep convolutional neural network
  • Face recognition method and system based on deep convolutional neural network
  • Face recognition method and system based on deep convolutional neural network

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Embodiment Construction

[0030] Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals designate the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary only for explaining the present invention and should not be construed as limiting the present invention.

[0031] In the description of the present invention, the meaning of several means one or more, and the meaning of multiple means two or more than two. Greater than, less than, exceeding, etc. are understood as not including the original number, and above, below, within, etc. are understood as including the original number . If the description of the first and second is only for the purpose of distinguishing the technical features, it cannot be understood as indicating or implying the relative importance or implicitly indicating the number...

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Abstract

The invention discloses a face recognition method and system based on a deep convolutional neural network, and the method comprises a detection cutting step: receiving a face picture, obtaining the coordinates of key feature points of a face, and determining a cutting boundary according to the coordinates of the key feature points of the face based on a preset cutting rule; a feature extraction step: based on a backbone network of a face depth recognition model, obtaining a face feature vector with a fixed channel number according to the cut picture; an identity recognition step: matching theface feature vector, and obtaining identity recognition information corresponding to the face feature vector according to the similarity; and an age recognition step: according to the face feature vector, obtaining a recognition age based on an age recognition model of a plurality of age classifications. According to the method, the recognition processing speed can be improved, the face and age recognition accuracy is improved, and manpower and material resources are saved by reusing the face recognition model.

Description

technical field [0001] The invention relates to the technical field of face recognition, in particular to a face recognition method and system based on a deep convolutional neural network. Background technique [0002] Face recognition is a biometric technology for identification based on human facial feature information. With the maturity of its technology and the improvement of social recognition, face recognition is widely used in various fields. [0003] As a subsystem of face recognition, face age recognition usually puts age calculation on mobile devices. Considering the computing performance of its hardware, it adopts a non-deep learning mechanism with poor accuracy. At the same time, in specific applications, Age prediction usually waits for the face recognition results based on deep learning to return together, which will also increase the delay of the feedback results. Contents of the invention [0004] The present invention aims to solve at least one of the te...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/34G06K9/46G06N3/04
CPCG06V40/171G06V40/178G06V40/172G06V10/267G06V10/44G06N3/045
Inventor 李柯辰何伟李翔汪凡李伟车志宏
Owner 珠海市卓轩科技有限公司
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