Face recognition system and method based on deep learning

Abstract

The invention discloses a face recognition system and method based on deep learning and relates to the technical field of deep learning face recognition. The system includes an image acquisition module and a face recognition module. The face recognition module includes a control unit. The control unit is electrically connected with a face detection module, a deep learning training module, a feature extraction module, a matching identification module, a storage unit and a display screen. The storage unit is electrically connected with the deep learning training module, the feature extraction module and the matching identification module. The feature extraction module is electrically connected with the face detection module, the deep learning training module and the matching identification module. A face feature model library is disposed in the storage unit. According to the face recognition system and method based on deep learning, a convolutional neural network model is obtained through training of the deep learning training module, feature extraction in the process of face recognition by the convolutional neural network model, and the problems of low accuracy and low efficiency ofthe existing face recognition are solved.

Description

technical field [0001] The invention belongs to the technical field of deep learning face recognition, in particular to a deep learning-based face recognition system and method. Background technique [0002] Deep learning is a new field in machine learning research. Its motivation is to establish and simulate the neural network of human brain for analysis and learning. It imitates the mechanism of human brain to explain data, such as images, sounds and texts. Deep learning is a type of unsupervised learning. The concept of deep learning originated from the study of artificial neural networks. A multi-layer perceptron with multiple hidden layers is a deep learning structure. Deep learning combines low-level features to form more abstract high-level representation attribute categories or features to discover distributed feature representations of data. The concept of deep learning was proposed by Hinton et al. in 2006. Based on the deep belief network (DBN), a non-supervis...

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Problems solved by technology

[0004] The purpose of the present invention is to provide a face recognition system and method based on deep learning, obtain the convolutional neural network model through deep learning training module

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