Effective Face Detection using Machine Intelligence

Anilkumar Suthar

ISBN 10: 3330059230 / ISBN 13: 9783330059238

Published by LAP LAMBERT Academic Publishing, 2018

About this Item

nach der Bestellung gedruckt Neuware - Printed after ordering - In growing fast world facial recognition is quiet challenging as there are varieties of faces in the universe and the complexity of noises and backgrounds Face Recognition is one of the key areas under research. It has number of applications and uses. Many methods and algorithms are put forward. Face recognition comes under Bio metric identification like iris, retina, finger prints etc. The features of the face are called bio metric identifiers. The bio metric identifiers are not easily forged; misplaced or shared hence access through bio metric identifier gives us a better secure way to provide service and security. We can also develop many intelligent applications which may provide security and identity. We propose a work on facial Detection in which certain algorithms that are two stages Convolution Neural Network (CNN) and Support-Vector Machine are basically used for feature classification and the Convolution Neural Network (CNN) is feature extraction and by using this algorithm will try to provide accurate and effective Face Detection.

Seller Inventory # 9783330059238

Bibliographic Details

• Title: Effective Face Detection using Machine Intelligence
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2018
• Language: English
• ISBN 10: 3330059230
• ISBN 13: 9783330059238
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 4D millimeters 220 millimeters width by 150 millimeters height by 4 millimeters depth
• Weight: 102 grams

About this title

Synopsis

In growing fast world facial recognition is quiet challenging as there are varieties of faces in the universe and the complexity of noises and backgrounds Face Recognition is one of the key areas under research. It has number of applications and uses. Many methods and algorithms are put forward. Face recognition comes under Bio metric identification like iris, retina, finger prints etc. The features of the face are called bio metric identifiers. The bio metric identifiers are not easily forged; misplaced or shared hence access through bio metric identifier gives us a better secure way to provide service and security. We can also develop many intelligent applications which may provide security and identity. We propose a work on facial Detection in which certain algorithms that are two stages Convolution Neural Network (CNN) and Support-Vector Machine are basically used for feature classification and the Convolution Neural Network (CNN) is feature extraction and by using this algorithm will try to provide accurate and effective Face Detection.