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Facial age recognition system and method based on spiking neural network

A technology of spiking neural network and recognition system, which is applied in the system field of face age recognition based on unsupervised facial feature vector, can solve the problem of only applying static data sets, etc., and achieve the effect of high accuracy

Active Publication Date: 2020-01-17
北京智能工场科技有限公司
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Problems solved by technology

Thus solving the problem that existing technologies are only applicable to static data sets

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  • Facial age recognition system and method based on spiking neural network
  • Facial age recognition system and method based on spiking neural network
  • Facial age recognition system and method based on spiking neural network

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Embodiment Construction

[0075] In order to more clearly understand the above objects, features and advantages of the present invention, the present invention will be further described below in conjunction with the accompanying drawings and embodiments. It should be noted that, in the case of no conflict, the embodiments of the present application and the features in the embodiments can be combined with each other.

[0076] As mentioned earlier, in the prior art, the backpropagation algorithm is used to train the convolutional neural network, so a large amount of manually labeled data is required, which consumes a lot of labor costs. At the same time, the algorithm only supports static data, and when the feature distribution of the actual data is inconsistent with the training data, the recognition performance of the neural network will be greatly reduced. For example, when the training data is facial age data of East Asian men, if the actual data contains pictures of Western European men, the trained...

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Abstract

The invention provides a facial age recognition system and method based on a spiking neural network, and a system for performing facial age recognition based on an unsupervised facial feature vector,a computer program and a computer readable storage medium, which are used for executing the method, and can achieve a good effect on a dynamic data set. Compared with a traditional method, according to the technical scheme of the invention, a spiking neural network model is built by using spiking neurons, an STDP rule (a synaptic plasticity rule related to pulse time) is used for training a pulseneural network, and meanwhile, a lateral suppression method is used for obtaining an unsupervised self-organizing mapping neural network, so that the method can continuously adapt to the change of actual data. Therefore, the problem that the prior art is only suitable for static data sets is solved.

Description

technical field [0001] The present invention belongs to the technical field of artificial intelligence, and in particular relates to a facial age recognition system and method based on a pulse neural network, and a system for performing the above-mentioned method based on an unsupervised facial feature vector for facial age recognition, a computer program, and a computer program. Read storage media. Background technique [0002] In recent years, with the continuous development of artificial intelligence technology, technologies in the fields of image recognition, speech system, human-computer interaction, etc. have been updated. Compared with other biological features, face features are natural, non-compulsory, and not easy to counterfeit. Biometric recognition based on face images has made great progress in terms of performance driven by the development of artificial intelligence technology. Among them, the face age judgment method has achieved broad application prospects ...

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Application Information

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IPC IPC(8): G06K9/00G06N3/04G06N3/06
CPCG06N3/061G06N3/04G06V40/171G06V40/178G06V40/16G06V40/168
Inventor 杨菲李嘉懿贺同路郭学栋徐晓龙任永亮
Owner 北京智能工场科技有限公司
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