Brain Fingerprint Identification by Wanzeng Kong (.ePUB)+

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File Size: 41.8 MB

Brain Fingerprint Identification by Wanzeng Kong, Xuanyu Jin
Requirements: .ePUB, .PDF reader, 41.8 MB
Overview: This book delves into the emerging field of biometric identification using brainwave patterns. Specifically, this book presents recent advances in electroencephalography (EEG)-based biometric recognition to identify unique neural signatures that can be used for secure authentication and identification. 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. Deep Learning has demonstrated a remarkable ability to extract high-level features and uncover complex latent dependencies, making it highly effective for various tasks. However, the success of Deep Learning models typically hinges on the availability of large datasets for training, which poses a significant challenge in real-world applications.
Genre: Non-Fiction > Tech & Devices

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