Face Recognition for Surveillance Purpose : Using Orthogonal Transforms and Vector Quantization Techniques

Language: English

Published by LAP LAMBERT Academic Publishing, 2014

3659351482 / 9783659351488

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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nach der Bestellung gedruckt Neuware - Printed after ordering - This book is an attempt to unravel the problem of human face recognition. Face recognition is a biometric authentication method that has become more and more relevant in the recent years for the purpose of surveillance. Face recognition is a popular research area where there are different approaches studied in the literature. In this book face recognition problem is handled by applying Principal Component Analysis (PCA), Various Orthogonal transforms and different Vector Quantization (VQ) codebook generation techniques. The Eigen face method tries to find a lower dimensional space for the representation of the face images. The main drawback of PCA is scalability. As dataset changes the whole eigenspace distribution also changes. To avoid this difficulty various orthogonal transforms like DCT, DST, WHT, Slant, Wavelet Transform and newly proposed Kekre's Transform are applied on database. The concept of image energy compaction in low frequency coefficients is explored here.The VQ is considered to be a good data compression method. The key to VQ is the good codebook generation. Here the new technique for codebook generation is introduced as Kekre's Fast Code Book Generation (KFCG).

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Title
Face Recognition for Surveillance Purpose : Using Orthogonal Transforms and Vector Quantization Techniques
Author
Hemchandra Kekre
Publisher
LAP LAMBERT Academic Publishing
Publication year
2014
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3659351482
ISBN 13
9783659351488
Item weight
447 grams
Dimensions
220x150x18 mm

AHA-BUCH GmbH

Einbeck, Germany

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AbeBooks seller since August 14, 2006

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