Security concerns increase as the technology for falsification advances. There are strong evidences that a difficult to falsify biometric trait, the human heartbeat, can be used for identity recognition. Existing solutions for biometric recognition from electrocardiogram (ECG) signals are based on temporal and amplitude distances between detected fiducial points. Such methods rely heavily on th...

The increasing number of smartphone users and the involved increased amount of privacy critical information that these users carry around call for improved methods to protect this data. Biometric authentication methods have one important advantage when compared to a password. A biometric trait contains more information, which is harder to copy, steal or reproduce. Modern smartphones are general...

The Face is a physiological Biometric trait used in Biometric System. In this paper face recognition using oriented complex wavelets and Fast Fourier Transform (FROCF) is proposed. The five-level Dual Tree Complex Wavelet Transform(DTCWT) is applied on face images to get shift invariant and directional features along ±15o ,± 45o and ± 75o angular directions. The different pose, illumination and...

The use of multimodal biometric systems has been encouraged by the threat of spoofing, where an impostor fakes a biometric trait. The reason lies on the assumption that, an impostor must fake all the fused modalities to be accepted. Recent studies showed that there is a vulnerability of the existing fusion schemes in presence of attacks where only a subset of the fused modalities is spoofed. In...

Multimodal biometric systems fuse information using more than one physical and/or behavioral characteristics of a person to improve the recognition accuracy for person identification and alleviate the single biometric trait limitations. Focus of this paper is on combining the strengths of face and iris modalities to obtain better recognition accuracy for person identification by using several f...

Biometric systems are mostly used for human identification and authentication. Recent developments have shown that for person identification ECG can be used as more powerful tool as it give more reliable and accurate results even in abnormal cases than other biometric characteristics. Credential based authentication methods (e.g., passwords, PINs, certificates) are not well-suited for remote he...

For some applications it is necessary that the user has to get authenticated himself either by using his password or any biometric features. No doubt that this gives protection against unauthorized entry in to the application or system. Secret information needs security in a multi user environment. Any automatically measurable, robust and distinctive physical characteristics or personal trait t...

The objective of this study was to evaluate the possible use of biometric testicular traits as selection criteria for young Nellore bulls using Bayesian inference to estimate heritability coefficients and genetic correlations. Multitrait analysis was performed including 17,211 records of scrotal circumference obtained during andrological assessment (SCAND) and 15,313 records of testicular volum...

Biometrics is the science of recognising individuals based on their behavioural and biological characteristics such as face, fingerprints, iris, voice, gait and signature. A typical biometric system may be viewed as a pattern classification system which utilises advanced signal processing schemes to compare and match biometric data. The past decade has witnessed a rapid increase in biometrics r...

Combining multiple information sources, typically from several data streams is a very promising approach, both in experiments and to some extents in various real-life applications. A system that uses more than one behavioural and physiological characteristics to verify whether a person is who he/she claims to be is called a multimodal biometric authentication system. Due to lack of large true m...