Footprint identification and information mining method and system based on convolutional neural network

Abstract

The invention discloses a footprint recognition and information mining method and system based on a convolutional neural network, and the system comprises: an acquisition module which comprises a pressure sensor and a camera, and collects a footprint image and biological information of a to-be-detected person; a prediction module which is used for carrying out preprocessing and feature extractionon the collected footprint images to obtain identity information or predicted biological information; a display module which is used for displaying the identity information or the predicted biologicalinformation obtained by the prediction module; and a transmission module which is used for transmitting the identity information or the predicted biological information obtained by the prediction module to other equipment terminals for display. The footprint identification and information mining method and system based on the convolutional neural network technology provided by the invention are realized through the convolutional neural network formed by the convolutional layer with the direction and scale information, and the footprint identification and information mining accuracy is effectively improved.

Description

technical field [0001] The invention relates to the technical field of biometric identification and information mining, in particular to a method and system for footprint identification and information mining based on a convolutional neural network. Background technique [0002] Footprint recognition and information mining is a new type of recognition technology of biometric identification technology. It mainly uses the image acquisition module to collect barefoot or other forms of footprint images, so as to perform identity recognition and information mining on the footprint images. [0003] Footprints are traces formed by a person's self-weight and human muscle force acting on material objects such as the ground through the feet. Footprints can be divided into three-dimensional footprints and planar footprints according to whether there is depth or height information. Three-dimensional footprints contain rich physiological and behavioral characteristics, and are important...

AI Technical Summary

Problems solved by technology

However, the current technology for footprint analysis still has the problems of low recognition rate and low accuracy of information mining analysis.

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