The term biometrics is derived from the Greek bio (life) and metric (measure). Biometrics, as a means of identification, can be traced back to both ancient Egypt1 and China. Pioneering work on modern biometrics technologies dates back to the late 1960s, when researchers began looking at voice patterns, fingerprints, and hand geometry as a means for establishing unique individual identity. By th...

This paper presents an investigation into the effects, on the accuracy of multimodal biometrics, of introducing unconstrained cohort normalisation (UCN) into the score-level fusion process. Whilst score normalisation has been widely used in voice biometrics, its effectiveness in other biometrics has not been previously investigated. This study aims to explore the potential usefulness of the sai...

This paper presents a novel face and periocular biometric fusion at feature level using canonical correlation analysis. Face recognition itself has limitations such as illumination, pose, expression, occlusion etc. Also, periocular biometrics has spectacles, head angle, hair and expression as its limitations. Unimodal biometrics cannot surmount all these limitations. The recognition accuracy ca...

In this paper, we define for the first time the crossing matching score of two biometrics traits and combine it with the conventional matching scores to perform personal authentication. The proposed method is very suitable for the bimodal biometrics systems with two similar biometrics traits such as the system with visible light and infrared face images and the system with palm images captured ...

The topic of multi-modal biometrics has attracted great interest in recent years. This talk will categorize different approaches to multi-modal biometrics based on the biometric sources, the type(s) of sensing used, and the depth of collaborative interaction in the processing. By “biometric source” we mean the property of the person that is used for identification, such as fingerprint, voice, f...

Providing banking services, especially online banking and electronic payment systems, has always been associated with high concerns about security risks. In this paper, customer authentication for their transactions in electronic banking has been discussed, and a more appropriate way of using biometric fingerprint data, as well as encrypting those data in a different way, has been suggest...

Biometrics identification methods proved to be very efficient, more natural and easy for users than traditional methods of human identification. In fact, only biometrics methods truly identify humans, not keys and cards they posses or passwords they should remember. The future of biometrics will surely lead to systems based on image analysis as the data acquisition is very simple and requires o...

Biometric authentication comes in play to release the users from the difficulties of remembering and protecting passwords as required by traditional authentication systems. Among all the biometrics in use today, eye biometrics (iris and retina) offers the highest level of uniqueness, universality, permanence, and accuracy. Despite these convincing properties of iris and retina biometrics, they ...

A new class of biometrics based upon ear features is introduced for use in the development of passive identi cation systems The viability of the proposed biometric is shown both theoretically in terms of uniqueness and measurability over time and in practice through the implementation of a proof of concept system Identi cation by ear biometrics is promising because it is passive like face recog...

The biometrics authentication systems take attentions to cover the weakness of password authentication system. In this paper, we focus attention on the multi modal-biometrics of behavior characteristics. For the integration of multi modal biometrics Supervised Pareto learning SOM(SP-SOM) and its incremental learning method for implementing adaptive authentication system are proposed. Key–Words:...