Every colleges, offices, banks and industry are using biometric recognition system for authentication of employers. This biometric authentication system are use biometric templates or characteristics of employer and based on comparison of this template with enrolled data or template of employer for making decision about allowed enter into organization or not. So protection and recognition of hu...

The last six years witnessed important advances in applying iris based biometric systems for military and civil security purposes. The fundamental aspect of this progress is the development of biometric algorithms able to produce high confidence personal identification without human interaction. The majority of such biometric algorithms use iris video as a better representation of special prope...

In this paper, the biometric recognition for verification identification process and various cryptographic techniques for authentication purpose are discussed along with detailed review of literature. the main objective of this approach is to combine both cryptographic and biometric recognition to a system to provide high degree of security with protection against various attackers. Keywords— B...

INTEGRATION OF MULTIPLE CUES IN BIOMETRIC SYSTEMS By Karthik Nandakumar Biometrics refers to the automatic recognition of individuals based on their physiological and/or behavioral characteristics. Unimodal biometric systems perform person recognition based on a single source of biometric information and are affected by problems like noisy sensor data, non-universality and lack of individuality...

In this paper we briefly describe the BioSec multimodal biometric database and analyze its use in automatic text-dependent speaker recognition research. The paper is structured into four parts: a short introduction to the problem of text-dependent speaker recognition; a brief review of other existing databases, including monomodal text-dependent speaker recognition databases and multimodal biom...

The practice of using more than one biometric modality, sample, sensor, or algorithm to achieve recognition, commonly referred to as multi-biometrics, is a technique that is rapidly gaining popularity. By incorporating multi-biometrics into the recognition process, many of the short-comings of traditional single-biometric systems can be alleviated and overall recognition accuracy can be improve...

“Biometrics” refers to the technologies that measure and analyze human body characteristics for security purposes. The need of privacy and security in our daily life leads to this new area. Biometric systems have more accuracy when compared to traditional methods (password, key etc). It identifies and verifies the identity of a person based on one or more physiological and behavioral characteri...

Dynamic handgrip recognition is a new biometric authentication method based on the human grasping behavior. Handgrip pattern recognition seeks to analyze the dynamics inherent in grasping behavior such as how the pressure varying during the grasping process. A real-time biometric system based on handgrip pattern is proposed for aircraft pilot identification in this paper. An experiment was init...

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...

Operational applications for human identification require high credibility in order to determine or verify a person’s identity to a desired confidence level. Multimodal biometric score fusion (MBSF) can significantly improve detection, recognition, and identification performance of humans. The goals of this research are to explore the impact of each factor in a MBSF process and to determine the...