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Palmprint and face recognition method based on cellular neural network hetero-associative memory model

A neural network and associative memory technology, applied in the field of intelligent recognition, can solve problems such as security problems that are not fundamentally solved

Active Publication Date: 2020-09-11
CHONGQING UNIVERSITY OF SCIENCE AND TECHNOLOGY
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  • Abstract
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Problems solved by technology

However, this does not fundamentally solve the security problem

Method used

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  • Palmprint and face recognition method based on cellular neural network hetero-associative memory model
  • Palmprint and face recognition method based on cellular neural network hetero-associative memory model
  • Palmprint and face recognition method based on cellular neural network hetero-associative memory model

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Embodiment Construction

[0100] Embodiments of the present invention are described below through specific examples, and those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific implementation modes, and various modifications or changes can be made to the details in this specification based on different viewpoints and applications without departing from the spirit of the present invention. It should be noted that the diagrams provided in the following embodiments are only schematically illustrating the basic concept of the present invention, and the following embodiments and the features in the embodiments can be combined with each other in the case of no conflict.

[0101] Wherein, the accompanying drawings are for illustrative purposes only, and represent only schematic diagrams, rather than physical drawings, and should...

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Abstract

The invention relates to a palmprint and face recognition method based on a cellular neural network hetero-associative memory model, and belongs to the technical field of intelligent recognition. Themethod comprises registration and identification. According to the method, the hetero-associative memory and the cellular neural network model are combined; palm print picture data and face picture data are converted into a series of parameters to be stored, identity information, namely the palm print picture data and the face picture data, is high in verification reliability, the picture storagemode is high in confidentiality and safety coefficient, and the identity information of people is effectively prevented from being leaked. The mode of converting the picture into the parameter throughthe model is adopted, and the method is simple, convenient, good in practicability, good in picture recognition effect and good in face picture data protection effect.

Description

technical field [0001] The invention belongs to the technical field of intelligent recognition, and relates to a palmprint and face recognition method based on a cellular neural network heteroassociative memory model. Background technique [0002] Palmprint recognition is similar to fingerprint recognition. It is a relatively fast and credible biometric technology defined for human individuals so far. It has universality, uniqueness, stability, acceptability and anti-counterfeiting. . Different people, even different palm fingers of the same person have different palmprint features. Using palmprint recognition technology, personal identity verification can be carried out without carrying any auxiliary identification items. Face recognition is a technology that obtains the distribution map of personal facial features by referring to the face recognition device, stores the feature values, and then performs matching for personal identification. This identification technology...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62G06N3/04G06N3/08
CPCG06N3/049G06N3/08G06V40/1365G06V40/172G06N3/045G06F18/241
Inventor 韩琦杨恒叶刚强解燕曹瑞林日煌翁腾飞
Owner CHONGQING UNIVERSITY OF SCIENCE AND TECHNOLOGY
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