A multimodal biometric system is applied to recognize individuals for authentication using neural networks. In this paper multimodal biometric algorithm is designed by integrating iris, finger vein, palm print and face biometric traits. Normalized score level fusion approach is applied and optimized, encoded for matching decision. It is a multilevel wavelet, phase based fusion algorithm. This r...

Biometric Authentication systems adopt a suitable image processing technique to manipulate the biometric images. It refers to verifying a person using their biometric traits that includes physiological, biological and/or behavioral traits like iris, face, fingerprint, voice, hand writing etc. , A biometric characteristic should be unique, universal, permanent and acceptable. In this work, the t...

With the growing importance of personal identification and authentication in today’s highly advanced world where most business and personal tasks are being replaced by electronic means, the need for a technology that is able to uniquely identify an individual and has high fraud resistance saw the rise of biometric technologies. Making biometric-based solution mobile is a promising trend. A new ...

In undergoing this life, many people always try to do and get the best. New knowledge, experience, lesson, and everything that can improve the life will be done. However, many people sometimes feel confused to get those things. Feeling the limited of experience and sources to be better is one of the lacks to own. However, there is a very simple thing that can be done. This is what your teacher ...

Biometric-based individual distinguishing proof is a successful strategy for consequently perceiving, with high certainty, an individual's character. The utilization of finger knuckle pictures ID has shown promising outcomes and produced ton interest in biometrics. By seeing that the surface example delivered by twisting profoundly particular, this paper we present new biometric validation fram...

In the context of the investigation of the use of automated fingerprint identification systems (AFIS) for the evaluation of fingerprint evidence, the current study presents investigations into the variability of scores from an AFIS system when fingermarks from a known donor are compared to fingerprints that are not from the same source. The ultimate goal is to propose a model, based on likeliho...

Abstract The use of surface electromyography (sEMG) is rapidly spreading, from robotic prostheses and muscle computer interfaces to rehabilitation devices controlled by residual muscular activities. In this context, sEMG-based gesture recognition plays an enabling role in controlling prosthetics real-life settings. Our work aimed at developing a low-cost, print-and-play platform acquire analyse...

INTRODUCTION Sweat-sebum substance released by an individual, is left on the surface of different objects by direct contact (touch), which takes place in the well known mechanism of finger-print formation. Interesting from the crime detection point of view seems to be the determination of qualitative and quantitative changes in sweat-sebum biochemical profile left on objects, which may contribu...