Biometric systems allow automatic person recognition based on physical or behavioral features which belong to a certain person. Each biometric feature has its limits and no biometric system is perfect so unimodal biometric systems raise a variety of problems. To over fulfilling some of the mentioned inconvenient and limitations and to increase the level of security the multimodal biometric syst...

This paper focuses on a biometric signature based system as a novel tool for enhancing security in networks. The novel authentication approach takes into consideration a standardized database for analysis. Biometric perception is considered to be the most neoteric technology for sustaining security in various systems by involving exclusive identification features. The attainment of biometric pe...

The problem of mixing, swapping and abduction is a very serious and challenging issue throughout the world. Traditional methods of biometric and non biometric techniques have their own limitations and fail to provide required level of security for newborn. A multimodal biometric system integrates information from multiple biometric sources to compensate for the limitations in performance of eac...

Biometrics is the science of measuring physical and/or behavioral characteristics that are unique to each individual and they verify that an individual is who he or she claims to be. I have discussed about various biometric characteristics. Then I discussed the basic technique and operation that every biometric system follows. This paper explains the various biometric methodologies with their c...

This technical report describes a method for biometric identification based user authentication in distributed environments, which makes use of Trusted Platforms combined with Smart Cards and Trusted Biometric Readers for providing a trusted biometric system. With this authentication method, a user can establish a trust relationship with a Biometric Reader (via integrity checking), and the user...

Iris recognition is gaining popularity as a robust and reliable biometric technology. The intricate structure of the iris constitutes a powerful biometric modality utilized by iris recognition algorithms to extract biometric templates. Proposed approaches report recognition rates above 99% and equal error rates less than 1% on diverse data sets. Providing high accuracy iris recognition appears ...

Pattern Recognition, vol. 42, no. 9, pp. 1803-1815, September, 2009. On Estimating Performance Indices for Biometric Identification Jay Bhatnagar, Ajay Kumar Biometrics Research Laboratory Department of Electrical Engineering, Indian Institute of Technology Delhi Hauz Khas, New Delhi 110 016, INDIA Abstract This paper investigates an information theoretic approach for formulating performance in...

The potential of hand shape and hand texture-based biometry is investigated and algorithms are developed. Feature extraction stage is preceded by meticulous registration of the deformable shape of the hand. Alternative features addressing hand shape and hand texture are compared. Independent component analysis features prove to be the best performing in the identification and verification tasks...

Definition A Gaussian Mixture Model (GMM) is a parametric probability density function represented as a weighted sum of Gaussian component densities. GMMs are commonly used as a parametric model of the probability distribution of continuous measurements or features in a biometric system, such as vocal-tract related spectral features in a speaker recognition system. GMM parameters are estimated ...

Heart sounds are multi component non-stationary signals characterized as the normal phonocardiogram (PCG) signals and the pathological PCG signals. PCG is a weak biological signal mixed with strong background noise susceptible to interference from noise. The noise may be added due to various sources. The PCG signal has specific individual characteristics which are considered as a physiological ...