In this paper, physiological biometrics from face are combined with behavioral biometrics from speech in video to achieve robust user authentication. The choice of biometrics is motivated by user convenience and robustness to forgery as it is hard to simultaneously forge these two biometrics. We used the Mel Frequency Cepstral Coefficients for text-independent speaker recognition and local scal...

While it is widely acknowledged that the performance improvement in current biometrics-based personal authentication systems is necessary, it is not clear what mechanisms could be used to improve the performance. In this paper, we formulate the problem of multiple biometrics integration and examine whether the improvement in performance could be achieved from integrating multiple biometrics. Fo...

W ITH A very security-conscious society, biomet-rics-based authentication and identification have become one of the key technologies for many important applications. It is generally believed that biometrics can provide the necessary accuracy and reliability for applications, such as access control. Biometrics research and technology continue to mature rapidly, driven by pressing industrial and ...

Despite their usability advantages over traditional authentication systems, biometrics-based authentication systems suffer from inherent privacy violation and non-revocability issues. In order to address these issues, the concept of cancelable biometrics was introduced as a means of generating multiple, revocable, and noninvertible identities from true biometric templates. Apart from BioHashing...

This paper advances an analysis of biometrics and profiling. Biometrics represents the most effective technology in order to prove someone’s identity. Profiling regards the capability of collecting and organizing individuals’ preferences and attitudes as consumers and costumers. Moreover, biometrics is already used in order to gather and manage biological and behavioral data and this tendency m...

Personal identification and authentication is very crucial in the current scenario. Biometrics plays an important role in this area. Biometric based authentication has proved superior compared to traditional password based authentication. Anyhow biometrics is permanent feature of a person and cannot be reissued when compromised as passwords. To over come this problem, instead of storing the ori...

Currently, small and large scale businesses are in need of advanced security measures to keep both customers and employees safe from today’s possible dangers. An excellent method of security, which is almost essential, is to identify a person quickly, easily and accurately. This type of security hasn’t been accomplished and proven through modern day technology up until now. We describe the tech...

We examine the efficiency of four machine learning algorithms for the fusion of several biometrics modalities to create a multimodal biometrics security system. The algorithms examined are Gaussian Mixture Models (GMMs), Artificial Neural Networks (ANNs), Fuzzy Expert Systems (FESs), and Support Vector Machines (SVMs). The fusion of biometrics leads to security systems that exhibit higher recog...

A biometric system which is based only on a single biometric identifier in making a personal identification is often not able to meet the desired performance requirements. Multimodal biometrics is an emerging field of biometric technology, where more than one biometric trait to improve the combined performance. We introduce a bimodal biometric system which integrates face and fingerprint. This ...

Modern cryptography has one issue to be solved: key management. One proposed solution to the issue is to binding biometrics with cryptographic key. However, the nonreproducible measurements of biometrics make it difficult to bind a key with biometrics due to the exactitude requirement of cryptographic key. To bind a cryptographic key with a biometric, error tolerance technique has to be applied...