Enhanced Machine Learning Algorithms - Savitha, Dr. J
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Human face plays a major role in our society, conveying human identification. Biometric face realization technology uses the face as a key to security, has received large attention up to now , as a result of its broad variety of purposes in each law and non-regulation enforcement. It is a computer application that robotically identifies and verifies a character from a digital picture or a video by way of analyzing and evaluating patterns. This is performed by evaluating selected facial elements from the photograph with the portraits in a facial database. Face recognition technology is the…mehr

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Produktbeschreibung
Human face plays a major role in our society, conveying human identification. Biometric face realization technology uses the face as a key to security, has received large attention up to now , as a result of its broad variety of purposes in each law and non-regulation enforcement. It is a computer application that robotically identifies and verifies a character from a digital picture or a video by way of analyzing and evaluating patterns. This is performed by evaluating selected facial elements from the photograph with the portraits in a facial database. Face recognition technology is the fastest emerging technology on biometrics. It works with an individual identifier - the human face. Instead of demanding the people to place their hand on a reader or precisely position their eye in front of a scanner, face recognition systems take the images of people's faces as they enter a defined area. The author focused mainly on Machine Learning algorithms in face recognition system.
Autorenporträt
Dr J Savitha, working as a Professor in Department of Information Technology, Dr. N.G.P Arts and Science College, Coimbatore. She has 15 + years of experience in teaching and research with strong academic knowledge. She has a research experience in Machine Learning and Face Recognition.