Biometrics

Biological motion has successfully been used for analysis of a person’s mood and other psychological traits. Efforts are made to use human gait as a non-invasive mode of biometric. In this reported work, we try to study the effectiveness of biological gait motion of people as a cue to biometric based person recognition. The data is 3D in nature and, hence, has more information with itself than the cues obtained from videobased gait patterns. The high accuracies of person recognition, using a simple linear model of data representation and simple neighborhood based classfiers, suggest that it is the nature of the data which is more important than the recognition scheme employed.

Different hand-derived biometric traits have been used for user authentication in many commercial systems. In this paper we have investigated the possibility of using a new biometric trait - the knuckle for user authentication. Knuckle regions are extracted from the hand images and correlation methodsare used for the purpose of verification. Experimental results on a data set of 125 people show that the knuckle is a viable biometric trait, which can be used as an alternative to finger and palm prints or in conjunction with them.

This paper presents an effective system for recognizing the identity of a living person on the basis of iris patterns that is one of the physiological and biological features with high reliability. To represent the iris pattern efficiently, a new method for optimizing the dimension of feature vectors using wavelet transform is proposed. In order to increase the recognition accuracy of competitive learning algorithm, an efficient initialization of the weight vectors and a new method to determine the winner are also proposed. With all of these novel mechanisms, the experimental results showed that the proposed system could be used for personal identification in an efficient and effective manner.

This article looks at one of the evolving crimes of the digital age; identity theft. It argues and explains that if three key technologies were implemented together namely biometrics, smart cards, and PKI, then they can deliver a robust and trusted identification and authentication infrastructure. The article concludes that such infrastructure may provide the foundation for e-government and ecommerce initiatives as it addresses the need for strong user authentication of virtual identities.

Over the past decade, biometrics technology has evolved from a technology used primarily in forensics and a narrow scientific and technological field to an indispensable technology in public and private sectors ex¬panding into areas calling for advanced security. Biometric technologies provide high levels of security and reliability to address requirements related to identification and verification of personal identities. In light of the ever increasing requirements for robust identity management, biometrics industry is evolving to play a central role in shaping the future economy. This article provides a comprehensive overview of biometrics technologies, its functions, areas of application, related international standards, and recent advances in the field. The second part of the article looks at the application of biometrics in the government sector worldwide, and the emerging pivotal role of biometrics in consolidating the foundations of the digital economies and sheds light on the experiences of the United Arab Emirates in deploying different advanced biometrics technologies in a wide range of applications. It also outlines the government plans to develop an identity management infrastructure to address multiple strategic objectives, some of which are related to revolutionizing public services and supporting the development of the digital economy.