A system and method for facial age recognition based on spiking neural network

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

Active Publication Date: 2021-02-02
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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  • A system and method for facial age recognition based on spiking neural network
  • A system and method for facial age recognition based on spiking neural network
  • A system and method for facial age recognition based on spiking neural network

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[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 present invention proposes a facial age recognition system and method based on a pulse 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 for performing the above method, which can be used dynamically Good results have been achieved on the dataset. Compared with traditional methods, the technical scheme of the present invention uses spiking neurons to build a spiking neural network model, and uses the STDP rule (pulse time-dependent synaptic plasticity rule) to train the spiking neural network, and uses a lateral inhibition method , obtained an unsupervised self-organizing map neural network, which can continuously adapt to changes in actual data. Therefore, the problem that the existing technology is only applicable to 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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Patent Type & Authority Patents(China)
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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