Brain Computer Interface for Biometric Authentication by Recording Signa

Improving Computer Authentication Systems with Biometric Technologies

In this paper we describe that user authentication methods based on hash functions like MD5, NT / NTLM and SHA-1 can be easily compromised. We used methods that utilize cryptanalytic tables based on time memory tradeoff procedures (TMTO) and we analyzed certain limitations on this approach. We suggest improvements to this technique and additional concepts like parallelized creation and querying...

Comparison of Different Linear Filter Design Methods for Handling Ocular Artifacts in Brain Computer Interface System

 Brain-computer interfaces (BCI) record brain signals, analyze and translate them into control commands which are relayed to output devices that carry out desired actions. These systems do not use normal neuromuscular output pathways. Actually, the principal goal of BCI systems is to provide better life style for physically-challenged people which are suffered from cerebral palsy, amyotrophic l...

Multimodal Biometric for Person Authentication by Fusion

A biometric System which relies only on a single biometric identifier in making a personal identification is often not able to meet the desired performance requirements. Identification based on multiple biometrics represents an emerging trend. We introduce a multimodal biometric system, which integrates face, ear and fingerprint recognition in making a personal identification. This system takes...

Biometric Authentication

As people become more connected electronically, the ability to achieve a highly accurate automatic personal identification system is more critical. Biometric technology is a way to achieve fast, user-friendly authentication with a high level of accuracy. This presentation will highlight some of the benefits and the few limits of using biometrics for authentication. Emerging applications, both w...

Biometric Authentication