Face Recognition using Vector Quantization

Language: English

Published by LAP LAMBERT Academic Publishing Jul 2012, 2012

3659154318 / 9783659154317

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This item is printed on demand - Print on Demand Titel. Neuware -This book presents a novel approach for Face Recognition using 'Vector Quantization'. Face Recognition is one of the popular biometric techniques used in today's era. A 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. Vector quantization is simple image compression technique. It is efficient for image coding because it reduces computational complexity. VQ compression is highly asymmetric in processing time: choosing an optimal codebook takes huge amounts of calculations, but decompression is lightning-fast-only one table lookup per vector. This makes VQ an excellent choice for face recognition. In this book four different VQ algorithms namely LBG, KPE, KMCG and KFCG are used to observe the efficiency of face recognition system. Efficiency is calculated in terms of recognition rate and computational complexity. It has been observed that KPE, KMCG and KFCG outperform LBG which is known as benchmark in vector quantization. Proposed techniques are compared with traditional DCT and Walsh transform also. It proves better than transform techniques.OmniScriptum SRL, Str. Armeneasca 28/1, office 1, 2012 Chisinau 96 pp. Englisch.

Seller Inventory # 9783659154317

Title
Face Recognition using Vector Quantization
Author
Prachi Natu
Publisher
LAP LAMBERT Academic Publishing Jul 2012
Publication year
2012
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3659154318
ISBN 13
9783659154317
Item weight
161 grams
Dimensions
220x150x7 mm

buchversandmimpf2000

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