Brain Fingerprint Identification
English | 2025 | ISBN: 9819645115 | 207 Pages | PDF EPUB (True) | 39 MB
English | 2025 | ISBN: 9819645115 | 207 Pages | PDF EPUB (True) | 39 MB
Traditional biometric systems such as fingerprints, iris scans, and face recognition have become integral to security and identification. However, these methods are increasingly vulnerable to spoofing and other forms of attack. Unlike other traditional biometrics, EEG signals are non-invasive, continuous authentication, liveness detection, and resistance to coercion due to the complexity and uniqueness of brain patterns. Therefore, it is particularly suitable for high-security fields such as military and finance, providing a promising alternative for future high-security identification and authentication.