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A Survey of Face Recognition by the Genetic Algorithm $0.00
Authors: Fengzhi Dai, Yutaka Fujihara and Naoki Kushida (Tianjin University of Science and Technology, China, and others) 
Book Description:
Computer vision and recognition is playing an increasing important role in the modern intelligent control. Object detection is the first and the most important step in object recognition. Traditionally, special objects can be detected and recognized by the template matching method, but the recognition speed has always been a problem. Also for recognition by the neural network, training the data is always time consumption. In this book, the genetic algorithm-based face recognition system is examined. This book proposes a practical method for face detection and recognition. Finally, the experimental results, and a comparison with the traditional template matching method, and some other considerations, are also given.

Please click on a chapter below to purchase separately

Chapter 1 - A Survey of Face Recognition by the Genetic Algorithm
Authors / Editors: Fengzhi Dai, Yutaka Fujihara and Naoki Kushida (Tianjin University of Science and Technology, China, and others)
***Open Access Chapter. Free Download Available***

   Series:
      Computer Science, Technology and Applications
   Binding: Online Book
   Pub. Date: 2011 2nd quarter
   ISBN: 978-1-61324-597-2
   Status: AV
  
Status Code Description
AN Announcing
FM Formatting
PP Page Proofs
FP Final Production
EP Editorial Production
PR At Prepress
AP At Press
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A Survey of Face Recognition by the Genetic Algorithm