Biometric Encryption (BE) is a group of emerging technologies that securely bind a digital key to a biometric or generate a digital key from the biometric, so that no biometric image or template is stored.What is stored is the BE template otherwise known as a ‘‘bio-metrically encrypted key’’ or ‘‘helper data.’’ As a result, neither the digital key nor the biometric can be retrieved from the sto...

Now a days Security of computer science and information technology is an important issue. Authentication and identification are related to the security. The traditional methods for confirming person identity involve use of ATM, Pins, and Password which can be lost or stolen. So it is needed to have a system which provide security and overcome the limitations of traditional methods. A biometric ...

We address the problem of score level fusion of intramodal and multimodal experts in the context of biometric identity verification. We investigate the merits of confidence based weighting of component experts. In contrast to the conventional approach where confidence values are derived from scores, we use instead raw measures of biometric data quality to control the influence of each expert on...

Biometric authentication provides a high security and reliable approach to be used in security access system. Personal identification based on hand vein patterns is a newly developed recent year. The pattern of blood veins in the hand is unique to every individual, even among identical twins, and it do not change over time. These properties of uniqueness, stability and strong immunity to forger...

This paper gives a brief overview of security using Biometrics Parameters. Security is one of the utmost requirements of homes and businesses which require multimodal biometric identification. This paper aims to identify a person through Voice and face recognition. The ARM based voice recognition module is used for voice recognition. Also some other techniques available for voice recognition ar...

Researchers have suggested that the ear may have advantages over the face for biometric recognition. Our previous experiments with ear and face recognition, using the standard principal component analysis approach, showed lower recognition performance using ear images. We report results of similar experiments on larger data sets that are more rigorously controlled for relative quality of face a...

Wide usage of biometric information for person identity verification purposes, terrorist acts prevention measures and authentication process simplification in computer systems has raised significant attention to reliability and efficiency of biometric systems. Modern biometric systems still face many reliability and efficiency related issues such as reference database search speed, errors while...

Face recognition based on principal component analysis is a heavily researched topic in computer vision. The ear has been proposed as a biometric, with claimed advantages over the face. We have applied the PCA approach to images of the face and ear using the same set of subjects. Testing wass done with three different gallery/probe combinations. For faces we have: 1) probes of same day but diff...

Authentication based on biometrics is being applied to control physical access to high-security facilities. Recently, with the recent rapid growth of information system technologies, applications for accessing databases or business workflow systems have begun to use biometrics such as hand geometry, palm, iris, fingerprint etc. As the integrity of data is important, We have to guarantee the int...

The NIST HumanID Evaluation Framework, or HEF, is an effort to design, implement, and deploy standards for the robust and complete documentation of the biometric system evaluation process. The HEF is leverages contemporary technologies, specifically XML, for the formal description of biometric tests. The HEF was used to facilitate the administration of the Face Recognition Vendor Test (FRVT) 20...