Unobtrusive Multimodal Biometric Authentication: The HUMABIO Project Concept

Ioannis G Damousis,Dimitrios Tzovaras,Evangelos Bekiaris

doi:10.1155/2008/265767

Abstract

Human Monitoring and Authentication using Biodynamic Indicators and Behavioural Analysis (HUMABIO) (2007) is an EU Specific Targeted Research Project (STREP) where new types of biometrics are combined with state of the art sensorial technologies in order to enhance security in a wide spectrum of applications. The project aims to develop a modular, robust, multimodal biometrics security authentication and monitoring system which utilizes a biodynamic physiological profile, unique for each individual, and advancements of the state-of-the art in behavioural and other biometrics, such as face, speech, gait recognition, and seat-based anthropometrics. Several shortcomings in biometric authentication will be addressed in the course of HUMABIO which will provide the basis for improving existing sensors, develop new algorithms, and design applications, towards creating new, unobtrusive biometric authentication procedures in security sensitive, controlled environments. This paper presents the concept of this project, describes its unobtrusive authentication demonstrator, and reports some preliminary results.

Highlights

Biometrics measure unique physical or behavioural characteristics of individuals as a means to recognize or authenticate their identity
A shortcoming of biometric security systems is the discrimination of groups of people whose biometrics cannot be recorded well for the creation of the reference database, for example, people whose fingerprints do not print well or they even miss the required feature
The research on new biometrics that exploit physiological features that exist in every human (such as electroencephalogram (EEG) and electrocardiogram (ECG) features), rendering them to be applicable to the greatest possible percentage of the population, becomes very important

Summary

Introduction

Biometrics measure unique physical or behavioural characteristics of individuals as a means to recognize or authenticate their identity. Common physical biometrics include fingerprints, hand or palm geometry, and retina, iris, or facial characteristics. A shortcoming of biometric security systems is the discrimination of groups of people whose biometrics cannot be recorded well for the creation of the reference database, for example, people whose fingerprints do not print well or they even miss the required feature. These people are de facto excluded by the system. The research on new biometrics that exploit physiological features that exist in every human (such as electroencephalogram (EEG) and electrocardiogram (ECG) features), rendering them to be applicable to the greatest possible percentage of the population, becomes very important

Methods

Results

Conclusion