Enhancement of Multi-Modal Biometric Authentication Based on IRIS and Brain Neuro Image Coding

The proposed method describes the current forensics and biometrics in a modern approach andimplements the concept of IRIS along with brain and resolves the issues and increases thestrength of Digital Forensics Community. It has enormous features in biometrics to enhancediverse security levels. A new method to identify individuals using IRIS Patterns with the brainwave signals (EEG) is proposed. Several different algorithms were proposed for detecting,verifying and extracting the deterministic patterns in a person’s IRIS from the Eye. The extractedEEG recordings form the person's brain has proved to be unique. Next we combine EEG signalsinto the IRIS patterns a biometric application which makes use of future multi modal combinationarchitecture. The proposed forensic research directions and argues that to move forward thecommunity needs to adopt standardized, modular approaches for person identification. The resultof each authentication test is compared with the user's pre-recorded measurements, usingpattern recognition methods and signal-processing algorithms.