Dynamic Biometrics Personal Verification by Sole Information

Abstract

Recently, biometric personal identification is evolving in the field of security and personalized services. Personal identification based on walking pattern using load cell, camera and pressure sensor is human-friendly system. The pressure sensor in mat can obtain information, such as foot pressure and foot size. In this study we propose a personal identification method by pressure change in sole. In our method, we divide pressure change in sole for the features, such as peak pressure, timing of heel strike and timing of toe push off. We consider two types of personal identification method: Euclidean distance based method and the other is neural network. As the result, the method of Euclidean distance could identify one of 10 subjects at 70% recognition ratio at 4 divisions The method of neural network could identify one of 10 subjects at 85% recognition ratio at 5 divisions.