Personnel identity authentication and handwritten letter recognition method based on WIFI signal

A technology of identity authentication and recognition method, which is applied in the direction of character recognition, character and pattern recognition, neural learning method, etc. It can solve the problems that are not suitable for long-distance operation, improve the accuracy of authentication and recognition, facilitate data acquisition, and reduce processing time short effect

Pending Publication Date: 2021-08-24
NANJING UNIV OF POSTS & TELECOMM
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Problems solved by technology

This method has high recognition accuracy, but the user needs to carr

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  • Personnel identity authentication and handwritten letter recognition method based on WIFI signal
  • Personnel identity authentication and handwritten letter recognition method based on WIFI signal
  • Personnel identity authentication and handwritten letter recognition method based on WIFI signal

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Embodiment Construction

[0033] In order to make the objects, technical solutions and advantages of the present invention, the present invention will be described in detail below with reference to the accompanying drawings and specific examples.

[0034] See figure 1 As shown, the present invention discloses a WiFi signal-based identity authentication and handwriting letter identification method, including offline stages and online stages, offline stages including the following steps:

[0035] Step 1: Pass the channel status information (CHANNEL STATE Information, CSI), uploading and establishing a database, uploading and establishing a database, and establishing a database in a fixed location in a fixed location Form different training databases;

[0036] Step 2: Use the CSI amplitude information in the database to form an image in a linear map, and is divided into CSI amplitude image personnel class training database and CSI amplitude image letter category training database, CSI amplitude image letter c...

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Abstract

The invention discloses a personnel identity authentication and handwritten letter recognition method based on a Wi-Fi signal. In order to solve the problems that handwriting recognition needs special equipment and is inconvenient, and conventional unbound handwriting recognition equipment is low in precision and low in recognition speed, the equipment is used in advance for collecting channel state information (CSI) when different persons write any letter in the air at a fixed position, and uploading the CSI, establishing a database, and then classifying the CSI; and then learning is carried out by using a convolutional neural network, amplitude information of CSI received by WIFI equipment is decomposed during authentication and recognition, a CSI image is constructed and then is substituted into a recognition function obtained by learning of the convolutional neural network, and dual recognition of personnel identity and handwritten letters is carried out.

Description

Technical field [0001] The present invention relates to a WiFi signal-based person authentication and a handwritten alphabetic identification method belonging to the field of machine learning. Background technique [0002] With the rapid development of virtual reality, traditional keyboard input modes have not been applied to this technology and are also difficult to meet fast and convenient requirements. It is more advantageous for smart devices that are inconvenient to use keyboards and touch screens. Therefore, air handwriting alphabetical identification has become a hot spot study. However, with the popularization of research in this area, research needs of new security issues have been produced. Although users can interact with the environment, the attacker can also imitate the user's input gestures, which illegally use personal services or access private information. Therefore, it is important to identify the identification of identity authentication. [0003] Common identi...

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Application Information

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IPC IPC(8): H04B7/06H04L1/06G06F16/55G06K9/68G06N3/04G06N3/08
CPCH04B7/0626H04L1/0693G06F16/55G06N3/08G06V30/2455G06V30/10G06N3/045
Inventor 杨孟渭颜俊曾龙娥李喆
Owner NANJING UNIV OF POSTS & TELECOMM
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