A physiological biometric would be identified by one's Face, Iris, voice, DNA or handprint. Behavioral biometrics relates the behavior of a person, such as typing rhythm, gait, voice, hand writing, etc.
Biometric recognition is an approach that provides a unique method for identity recognition. It uses metrics related to human characteristics for recognition. Biometrics has many features, such as uniqueness, permanence, and ease of collection. It involves both behavioral and physical characteristics.
Biometric recognition is an approach that provides a unique method for identity recognition. It uses metrics related to human characteristics for recognition. Biometrics has many features, such as uniqueness, permanence, and ease of collection.
Biometric systems utilize fingerprints, iris, face, hand geometry, palmprint, finger vein structure, gait, voice, signature, keyboard typing pattern, etc. in order to recognize a person (Figure 1).
Biometric systems utilize fingerprints, iris, face, hand geometry, palmprint, finger vein structure, gait, voice, signature, keyboard typing pattern, etc. in order to recognize a person (Figure 1).
Biometric systems utilize fingerprints, iris, face, hand geometry, palmprint, finger vein structure, gait, voice, signature, keyboard typing pattern, etc.
Biometrics is the science of establishing the identity of an individual based on the inherent physical or behavioral traits associated with the person [29, 4, 33]. Biometric systems utilize fingerprints, iris, face, hand geometry, palmprint, finger vein structure, gait, voice, signature, keyboard typing pattern, etc.
In this paper, we have developed a novel cardiac biometric system for human identification using deep learning approaches. The system leverages the unique