Face Recognition for Surveillance Purpose

Using Orthogonal Transforms and Vector Quantization Techniques
LAP Lambert Academic Publishing
  • erschienen am 25. Juni 2014
  • Buch
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  • Softcover
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  • 288 Seiten
978-3-659-35148-8 (ISBN)
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).
  • Englisch
  • Broschur/Paperback
  • |
  • Klebebindung
  • Höhe: 220 mm
  • |
  • Breite: 150 mm
  • |
  • Dicke: 17 mm
  • 447 gr
978-3-659-35148-8 (9783659351488)
Dr. Kamal Shah has received BE Electrical Engg. In 1996 from NIT-Surat and M.E. EXTC in 2005 from Mumbai University. She has completed her Ph.D in Engg. (Face Recognition) from NMIMS university in 2010. She has 15 years of teaching experience. She has more than 30 publications in national and international conference & Journals.

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