Intelligent Biometric System: A Case Study

Biometrics is the field of technology devoted to verification or authentication of individuals using biological traits. A biometric authentication system verifies the identity of a claimant based on the person’s physical attributes, such as voice, face, or fingerprints. Its application areas include security applications, forensic work, law enforcement applications, and so on. Here we have divided the work in four cases: person identification using speech features, using facial features, using fusion of speech and facial features, and finally identification using fusion of optimized speech and facial features. For all these four cases we have simulated an intelligent system using Artificial Neural Networks. The neural network model is trained by back-propagation algorithm.