facial recognition system

Divya Sushma

ISBN 10: 3846549681 / ISBN 13: 9783846549681

Published by LAP LAMBERT Academic Publishing Nov 2011, 2011

About this Item

This item is printed on demand - Print on Demand Titel. Neuware -Our project titled ¿Face Recognition System¿ is a computer application for automatically identifying or verifying a person from a digital image or a video frame from a video source. One of the ways to do this is by comparing selected facial features from the image and a facial database. It does that by comparing the face of the accessing user with a database of faces already stored in memory. It is typically used in security systems and can be compared to other biometrics such as fingerprint or iris recognition systems. This project uses the eigenface system (based on pricipal component analysis - PCA) to recognize faces. The entire program for facial recognition is written in MATLAB. The great advantage of facial recognition system is that it does not require aid from the test subject. Properly designed systems installed in airports, multiplexes and other public places can detect the presence of criminals among the crowd. Software used: MATLAB 6.5VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 76 pp. Englisch.

Seller Inventory # 9783846549681

Bibliographic Details

• Title: facial recognition system
• Publisher: LAP LAMBERT Academic Publishing Nov 2011
• Publication Date: 2011
• Language: English
• ISBN 10: 3846549681
• ISBN 13: 9783846549681
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 5D millimeters 220 millimeters width by 150 millimeters height by 5 millimeters depth
• Weight: 131 grams

About this title

Synopsis

Our project titled “Face Recognition System” is a computer application for automatically identifying or verifying a person from a digital image or a video frame from a video source. One of the ways to do this is by comparing selected facial features from the image and a facial database. It does that by comparing the face of the accessing user with a database of faces already stored in memory. It is typically used in security systems and can be compared to other biometrics such as fingerprint or iris recognition systems. This project uses the eigenface system (based on pricipal component analysis - PCA) to recognize faces. The entire program for facial recognition is written in MATLAB. The great advantage of facial recognition system is that it does not require aid from the test subject. Properly designed systems installed in airports, multiplexes and other public places can detect the presence of criminals among the crowd. Software used: MATLAB 6.5

About the Author

Facial recognition using MAT LAB is very useful in a wide applications, Properly designed systems installed in airports, multiplexes and other public places can detect the presence of criminals among the crowd.facial recognition code in MAT LAB is very effective.This project uses the eigenface system (based on pricipal component analysis - PCA).