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Video face recognition method based on wavelet transform and neural network algorithm

A neural network algorithm and wavelet transform technology, applied in the field of face recognition, can solve the problems of low face image recognition rate, achieve the effect of improving recognition speed, accurate and fast face recognition function, and beneficial to noise reduction

Pending Publication Date: 2019-08-16
云南路普斯数据科技有限公司
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Problems solved by technology

In recent years, people's research on face recognition methods is in the development stage, and new technologies and methods are constantly emerging, but there is still a problem of low recognition rate of face images.

Method used

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  • Video face recognition method based on wavelet transform and neural network algorithm

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Embodiment Construction

[0058] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the embodiments of the present invention. Obviously, the described embodiments are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without making creative efforts belong to the protection scope of the present invention.

[0059] This embodiment is a preferred implementation mode of the present invention, and other principles and basic structures that are the same or similar to this embodiment are within the protection scope of the present invention.

[0060] Please see attached figure 1 , a kind of video face recognition method based on wavelet transform and neural network algorithm of the present invention, it specifically comprises the following steps:

[0061] Step S1: Obtain a face image through a cam...

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Abstract

The invention relates to a video face recognition method based on wavelet transformation and a neural network algorithm, belongs to the technical field of face recognition, and is divided into a dataprocessing part and a face recognition part. According to the method, firstly, data processing is carried out, that is, denoising processing is carried out on a face image through wavelet transformation, then face image features are extracted through wavelet transformation, and then dimensionality reduction of feature data is achieved through a self-organizing neural network. When face recognitionis carried out, a BP neural network is trained by using part of sample data, and then the trained BP neural network is used to carry out face image recognition. According to the invention, on the premise of ensuring that the recognition accuracy is higher than 99.95%, the recognition speed on the mobile terminal is less than 80ms, so that the mobile terminal device has an accurate and rapid facerecognition function.

Description

technical field [0001] The invention relates to the technical field of face recognition, in particular to a video face recognition method based on wavelet transform and neural network algorithm. Background technique [0002] Face recognition is a popular research topic in computer pattern recognition and biometric authentication technology, which is widely used in entertainment, information security, law enforcement and surveillance. Generally speaking, face recognition mainly refers to computer technology for identifying human identity through human facial visual information in digital images or video images. Compared with fingerprint recognition and palmprint recognition, face recognition has the characteristics of convenience, speed and acceptance. In recent years, people's research on face recognition methods is in the development stage, and new technologies and methods are constantly appearing, but there is still a problem of low recognition rate of face images. Cont...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/40G06K9/62
CPCG06V40/16G06V10/30G06F18/214
Inventor 程伟刘兵
Owner 云南路普斯数据科技有限公司
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