Feature extraction using emprical mode decomposition for biometric system

Biometric system is one of the most popular tool for user identification where security is primary concern such as Banks, airports and companies etc. Few of biometrics tool such as fingureprints, face and Iris are frequently using for user identification, nevertheless its flaw like mimic the original data makes it weak. Hence, there is another biometric has been emerged based on EEG where mimicry of data is quite impossible because it depends on users thought. The following article presents a new and unique template using empirical mode decomposition as a feature for classification each from another one. In order to do this work we have taken four regions of the brain such as frontal, cerebral, parietal, and occipital and we have observed that each and every individual has unique pattern.