QR codes and steganography based secure fused biometrics

5^th International Conference on Biometrics & Biostatistics

October 20-21, 2016 Houston, USA

Saif AlZahir

The University of Northern British Columbia, Canada

Posters & Accepted Abstracts: J Biom Biostat

Abstract :

Information integrity and security research has always been fixated on cryptography for so many years. Recently, a much less common method of security, called digital steganography, has been a growing area of research. Steganography is the art of hiding a secret message in an information container (object). From digital steganography, a technique for content authentication has evolved called digital watermarking. These methods can be efficiently used for ownership and digital data verification such as biometrics among many others. Biometrics spans the measurements and analysis of physical and behavioral characteristics of people for authentication and access control. It is represented by statistics of a face, iris, voice, DNA, fingerprint recognition, and hands geometry identification just to name a few. Fusions of such statistical data introduce fragilities, distortion, loss of information, and ultimately unfaithful recovery of biometrics. These conditions make it imperative to resort to robust methods to overcome such detriments. In this study, emphasis will be placed on methods that ensure truthful biometrics recovery. I present four methods that cartel steganography with quick response, QR codes for data authentication. These methods exploits some specific characteristics of QR codes that are capable of correcting erroneous data due fusions at the levels of sensors, feature extraction, and feature matching and authentication. A special consideration will be on one method that uses QRcodes as a guide to embed steganographic data in containers that can be efficiently used for uni-modal and multimodal traits biometrics that are subjected to unavoidable threats.

Biography :

Email: saifalzahir@gmail.com