Footprint recognition 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. The system includes: an acquisition module, including a pressure sensor and a camera, which collects footprint images and biological information of a person to be tested; a prediction module, which collects Preprocessing and feature extraction are performed on the obtained footprint images to obtain identity information or predicted biological information; the display module displays the identity information or predicted biological information obtained by the prediction module; the transmission module converts the identity information or predicted biological information obtained by the prediction module The information is transmitted to other devices for display. The method and system for footprint recognition and information mining based on convolutional neural network technology provided by the present invention is realized through a convolutional neural network composed of convolutional layers with direction and scale information, effectively improving the accuracy of footprint recognition and information mining .

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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