EP-21 Role of Machine- Human In BioMetric Recognitions

In This Episode I covered the following things BioMetrics : Biometrics is the measurement and statistical analysis of people's unique physical and behavioral characteristics. The technology is mainly used for identification and access control or for identifying individuals who are under surveillance. Types Algorithms  Speech Reconition:Speech recognition is the capability of an electronic device or Machine to understand spoken words. Face Recognition:Facial recognition is a way of identifying or confirming an individual's identity using their face Retina/IRIS Recognition:Retina recognition is a biometric technique that uses the unique patterns on a person's retina for person identification Gait Analysis:Gait recognition technology (GRT) can analyse the shape of an individual's body and the unique way in which that body moves when walking or running, Finger Print:the verification of a person's identity by comparing their fingerprints with previously recorded samples, typically by means of a computerized system in which the person presses a finger against a sensor that scans a fingerprint. Palm Print:Palm print recognition is a biometric authentication method based on the unique patterns of various characteristics in the palms of people's hands ECG:An electrocardiogram records the electrical signals in your heart. It's a common and painless test used to quickly detect heart problems and monitor your heart's health. Electrocardiograms — also called ECGs or EKGs — are often done in a doctor's office, a clinic or a hospital room. Signature Recognition:Signature recognition is an example of behavioral biometrics that identifies a person based on their handwriting Listen the episode on all podcast platform and share your feedback as comments here Do check the episode on various platform follow me on instagram  https://www.instagram.com/podcasteramit Apple https://podcasts.apple.com/us/podcast/id1544510362 Huhopper Platform https://hubhopper.com/podcast/tech-stories/318515 Amazon https://music.amazon.com/podcasts/2fdb5c45-2016-459e-ba6a-3cbae5a1fa4d Spotify https://open.spotify.com/show/2GhCrAjQuVMFYBq8GbLbwa