Neural Network-Based Analysis of Biometric Height Features from Footprints

The height analysis of footprints has always used statistical methods in the past, which have significant errors. In order to effectively utilize the biometric features of footprints and conduct more accurate height analysis, this paper innovatively uses BP neural network to establish a function model of footprint features and height with the help of artificial intelligence and advanced computer algorithms. The research results show that there is a relatively stable relationship between footprint biometric features and body height, and using this method to analyze height is more accurate.