The human DNA can be the bridge between the Human and its data set in the Future

In our research, we are designing the abstract models of the global, centralized user authentication infrastructure. The user has only one trusted profile and a globally unique ID in the infrastructure. In this infrastructure model, we would like to support the cooperation among existing authentication providers. They can connect to the infrastructure if they comply with the common conditions. To identify a person in a trusted way, we have to relate the physical person to its digital data with a trusted method. Nowadays, this trusted method is the facial image of the person. Unfortunately, the biometric properties are very damageable, so a general biometric property based databank is also very damageable. In this paper, we would like to describe our possible solution based on the Human DNA for this problem

Skin Tissue Terahertz Imaging for Fingerprint Biometrics

abstract: Fingerprints have been widely used as a practical method of biometrics authentication or identification with a significant level of security. However, several spoofing methods have been used in the last few years to bypass fingerprint scanners, thus compromising data security. The most common attacks occur by the use of fake fingerprint during image capturing. Imposters can build a fake fingerprint from a latent fingerprint left on items such as glasses, doorknobs, glossy paper, etc. Current mobile fingerprint scanning technology is incapable of differentiating real from artificial fingers made from gelatin molds and other materials. In this work, the adequacy of terahertz imaging was studied as an alternative fingerprint scanning technique that will enhance biometrics security by identifying superficial skin traits. Terahertz waves (0.1 – 10 THz) are a non-ionizing radiation with significant penetration depth in several non-metallic materials. Several finger skin features, such as valley depth and sweat ducts, can possibly be imaged by employing the necessary imaging topology. As such, two imaging approaches 1) using quasi-optical components and 2) using near-field probing were investigated. The numerical study is accomplished using a commercial Finite Element Method tool (ANSYS, HFSS) and several laboratory experiments are conducted to evaluate the imaging performance of the topologies. The study has shown that terahertz waves can provide high spatial resolution images of the skin undulations (valleys and ridges) and under certain conditions identify the sweat duct pattern.Dissertation/ThesisMasters Thesis Electrical Engineering 201