An Automated Multimodal Face Recognition System Based on Fusion of Face and Ear Lorenzo Luciano This thesis presents an automated system for the detection and recognition of humans using a multimodal approach. Face recognition is a biometric method which has in recent years become more relevant and needed. With heavy research, it is achieving respectable recognition rates and is becoming more m...

In present world, biometric base authentication system is used by many agencies for security purpose. Use of important characteristics of biometric based authentication system become so popular because every human presents unique biometric characteristics and biometric recognition done automatically. Biometric authentication system is divided into four steps like biometric template acquisition ...

Iris recognition is gaining popularity as a robust and reliable biometric technology. The intricate structure of the iris constitutes a powerful biometric modality utilized by iris recognition algorithms to extract biometric templates. Proposed approaches report recognition rates above 99% and equal error rates less than 1% on diverse data sets. Providing high accuracy iris recognition appears ...

Soft biometric traits like gender, age, height, weight, ethnicity, and eye color cannot provide reliable user recognition because they are not distinctive and permanent. However, such ancillary information can complement the identity information provided by the primary biometric traits (face, fingerprint, hand-geometry, iris, etc.). This paper describes a hybrid biometric system that uses face ...

In this paper, fuzzy vault scheme is discussed for protection of templates in fingerprint recognition system. As fingerprint recognition system is most commonly used biometric, where minutiae points are stored as templates. If attacker gets this database, fake finger or artificial image can be created. Once biometric is compromised, it cannot be reused. This shows importance of template securit...

The demand on security is increasing greatly in these years and biometric recognition gradually becomes a hot field of research. Iris recognition is a new branch of biometric recognition, which is regarded as the most stable, safe and accurate biometric recognition method. In these years, much progress in this field has been made by scholars and experts of different countries. In this paper, so...

The intricate structure of the iris constitutes a powerful biometric utilized by iris recognition algorithms to extract discriminative biometric templates. In order to provide a rapid comparison of biometric templates the vast majority of feature extraction methods are designed to generate binary biometric templates, applying the Hamming distance as (dis-)similarity metric. Based on this concep...

Human identification by gait has created a great deal of interest in computer vision community due to its advantage of inconspicuous recognition at a relatively far distance. Biometric systems are becoming increasingly important, since they provide more reliable and efficient means of identity verification. Biometric gait Analysis (i.e. recognizing people from the way they walk) is one of the r...