Biometric based Personal authentication is still active research problem due to various issues such as providing high accuracy, computationally less complex feature extraction method and fusion strategy of multiple feature information. In this work we propose a personal authentication system using one such hand based biometric trait, Finger Back Knuckle Surface (FBKS). The texture pattern produ...

Biometric recognition (also known as biometrics) refers to the automated recognition of individuals based on their biological or behavioral traits. Examples of biometric traits include fingerprint, palmprint, iris, and face. The brain is the most important and complex organ in the human body. Can it be used as a biometric trait? In this study, we analyze the uniqueness of the brain and try to u...

Biometrics consists of techniques for identifying persons based upon one or more intrinsic physical or behavioral traits. A system which is based only on a single biometric identifier in making a personal identification is often not able to meet the desired performance requirements. Multimodal biometrics is an emerging field of biometric technology, where more than one biometric trait to improv...

The use of biometric technologies for human identity verification is growing rapidly in civilized society and showing its advancement towards the usability of biometrics for security. Off-line signature verification is considered as a behavioral characteristic based biometric trait in the field of security and the prevention of fraud. So, offline signatures are extensively used as a means of pe...

Multimodal biometric systems allow to overcome some of the problems presented in unimodal systems, such as non-universality, lack of distinctiveness of the unimodal trait, noise in the acquired data, etc. Integration at the matching score level is the most common approach used due to the ease in combining the scores generated by different unimodal systems. Unfortunately, scores usually lie in a...

This paper proposes a bimodal biometric system for person identification using two traits, hand geometry and palm texture. The proposed system use complete hand images to find hand geometry and palm texture features. Unlike other multimodal biometric systems, the user does not have to undergo the inconvenience of using two different sensors as two biometrics can be taken from the same image. Pa...

Biometric traits such as fingerprint, retina scan, and palm-prints are used to identify a person at attendance monitoring, banking, passport, travel, many other applications. Biometric-based identification is the only method that never changes according time, no one can copy it without knowledge. Footprint-based biometric way recognize based on different features associated with human footprint...

The present work proposes a new technique for the identification or prevention of intrusion in web applications via the monitoring of the user interaction behaviour. We report preliminary results in a verification task based on a user claiming his identity and being accepted or detected as an intruder after some time of user interaction monitoring. We describe the acquisition system that enable...

Gait is a biometric feature and gait recognition has become a challenging problem in computer vision. New wavelet velocity moments have been developed to describe and recognize gait. Wavelet moments are translation, scale and rotation invariant. Wavelet analysis has the trait of multi-resolution analysis, which strengthens the analysis ability to image subtle feature. According with the psychol...

Body weight is an important economic trait in the selection of animals. The main purpose of animal breeding practices is to improve traits of economic value (Mendes et al., 2005). These traits have close association with explanatory variables such as age, breed and morphological characters. Body measurements have been used in animals to estimate body weight (Topal and Macit, 2004; Yakubu et al....