Enhanced Machine Learning Algorithms

J. Savitha

ISBN 10: 6200254486 / ISBN 13: 9786200254481

Published by LAP LAMBERT Academic Publishing Jun 2022, 2022

About this Item

This item is printed on demand - Print on Demand Titel. Neuware -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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 140 pp. Englisch.

Seller Inventory # 9786200254481

Bibliographic Details

• Title: Enhanced Machine Learning Algorithms
• Publisher: LAP LAMBERT Academic Publishing Jun 2022
• Publication Date: 2022
• Language: English
• ISBN 10: 6200254486
• ISBN 13: 9786200254481
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 9D millimeters 220 millimeters width by 150 millimeters height by 9 millimeters depth
• Weight: 227 grams

About this title

Synopsis

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.