Multibiometric systems can solve a number of problems of single-biometry approaches. A source of flaws for present systems, both single-biometric and multibiometric, can be found in the lack of dynamic update of parameters, which does not allow them to adapt to changes in the working settings. They are generally calibrated once and for all, so that they are tuned and optimized with respect to s...

Network Security issues are now becoming important as society is moving to digital information age. Data security is the utmost critical component in ensuring safe transmission of information through the internet. It comprises authorization of access to information in a network, controlled by the network administrator. The task of Network security not only requires ensuring the security of end ...

Independent Component Analysis (ICA) has been recently used to find representation of images with neurophysiological plausibility. Here we extended it to the problem of extract features suitable for personal identification from both face images and speech signal. A two-channel biometric system is presented in this paper. Both the face recognition module and voice recognition subsystem of it are...

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...

Automatic face recognition system is an important component of intelligent human computer interaction systems for biometric. It is an attractive biometric approach, to distinguish one person from another. To perform Automatic face recognition system, the hybrid approach Wavelets face detection and Neural Network based Face Recognition is used. The face recognition accuracy is can be increased u...

recognition is a biometric identification method which among the other methods such as, finger print identification, speech recognition, signature and hand written recognition has assigned a special place to itself. In principle, the biometric identification methods include a wide range of sciences such as machine vision, image processing, pattern recognition neural networks and has various app...

Face recognition is one of the Biometric characteristics for person identification. In this paper, Face recognition is done using two feature extraction techniques PCA (Principal Component Analysis) and MPCA (Modular Principal Component Analysis). PCA is a linear projection method in which dimensionality reduction is applied to the original image space. MPCA is an improved version of PCA in whi...

The present study investigated basic statistics for biometric traits as well as non-genetic factors that may affect these traits in the Moghani breed of sheep. The data-set was computed by using biometric records of the Moghani sheep breeding and raising station over a period of 15 years (1996 to 2012). Year of birth, month of birth, birth type and lamb's sex and dam permanent environment were ...

Widespread use of biometric architectures implies the need to secure highly sensitive data to respect the privacy rights of the users. In this paper, we discuss the following question: To what extent can biometric designs be characterized as Privacy Enhancing Technologies? The terms of privacy and security for biometric schemes are defined, while current regulations for the protection of biomet...

What information is available in biometric features besides that needed for the biometric recognition process? What if a biometric feature contains Personally Identifiable Information? Will the whole biometric system become a threat to privacy? This paper is an attempt to quantifiy the link between biometrics and privacy. For a number of biometric-personal(ity) combinations, the availability, d...