INTEGRATION OF MULTIPLE CUES IN BIOMETRIC SYSTEMS By Karthik Nandakumar Biometrics refers to the automatic recognition of individuals based on their physiological and/or behavioral characteristics. Unimodal biometric systems perform person recognition based on a single source of biometric information and are affected by problems like noisy sensor data, non-universality and lack of individuality...

A biometric system is essentially a pattern recognition system. It compares the feature set data against the set of templates. Initially the biometric data is acquired from the subject, and from the acquired data the feature sets are extracted, these feature sets are used for comparison. With the ever-growing use of biometrics, it is the utmost need to use standard biometric systems. The biomet...

Following regulations of the EU Council in 2004, the member states have deployed electronic passports according to ICAO standards. Such documents contain an embedded radio frequency chip for storing personal data. The chip of a first generation German passport only duplicates the information which is already printed on the passport. In the current second version there are now also two fingerpri...

The main aim of biometric-based identification systems is to automatically recognize individuals based on their physiological and/or behavioural characteristics such as fingerprint, face, hand-geometry, among others. These systems offer several advantages over traditional forms of identity protection. However, there are still some important aspects that need to be addressed in these systems. Th...

Recently, Sarier [1] proposed an efficient biometric Identity Based Encryption (IBE) scheme called BIO-IBE using the Sakai Kasahara Key Construction and prove its security in the random oracle model based on the well-exploited k-BDHI computational problem. Despite its efficiency compared to other fuzzy IBE systems implemented for biometric identities, BIO-IBE is not secure against a new type of...

The goal of this paper is to present our work on the analysis of speech and handwriting biometrics related to meta data, which are based on one side on system hardware specifics (technical meta data) and on the other side to personal attributes (non-technical meta data). System related meta data represent physical characteristics of biometric sensors and are essential for ensuring comparable qu...

It is well known that some facial attributes –like soft biometric traits– can increase the performance of traditional biometric systems and help recognition based on human descriptions. In addition, other facial attributes –like facial expressions– can be used in human– computer interfaces, image retrieval, talking heads and human emotion analysis. This paper addresses the problem of automated ...

The recent growth in CCTV systems and the challenges of automatically identifying humans under the adverse visual conditions of surveillance have increased the interest in soft biometrics, which are physical attributes that can be used to describe people semantically. Soft biometrics enable human identification based on verbal descriptions, and they can be captured in conditions where it is imp...

Facial images play a significant role as biometric identifier. The accurate identification of individuals is nowadays becoming more and more important and can have a big impact on security. The good quality of facial images in passport photographs is essential for accurate identification of individuals. The quality acceptance procedure presently used is based on human visual perception and thus...

The most advanced scientific development of biometrics will be to uniquely identify an individual based on their clinically used cardiac physiological and anatomical attributes. Research studies have demonstrated in particular the potential of cardiovascular activity as a biometric marker. Electrocardiogram (ECG) signals and left ventricular Ejection Fraction (EF) measured via echocardiography ...