Person Authentication Using EEG Signal that Uses Chirplet and SVM

The brain wave signal which is result of neurons activity basically used for authentication due to its benefits over traditional biometric system. However lots of work has been done in brainwave based authentication, also numerous pre-processing, numbers of features were extracted and different classification methods have been investigated for authentication system. This study focuses on EEG (Electroencephalography) signal authentication with excellent precision. This paper consist of identification and authentication of human based on the EEG signal, here the database is used which consist of EEG signal of 29 subject and five trail of each subject. The transform named as Chirplet is used for extraction of the feature and support vector machine is used to improve the efficiency of those EEG-based recognition systems. The paper's goal is to achieve excellent classification rates and consequently assist create a secure and reliable bio-metric scheme using brain wave signal as a basis. This study achieves 99% precision.