Development and Evaluation of a Hybrid Facial Recognition Technique

  IJCTT-book-cover
 
International Journal of Computer Trends and Technology (IJCTT)          
 
© 2015 by IJCTT Journal
Volume-21 Number-2
Year of Publication : 2015
Authors : Khadija Afzal, Senthil Arumugam Muthukumaraswamy
  10.14445/22312803/IJCTT-V21P1117

MLA

Khadija Afzal, Senthil Arumugam Muthukumaraswamy "Development and Evaluation of a Hybrid Facial Recognition Technique". International Journal of Computer Trends and Technology (IJCTT) V21(2):94-97, March 2015. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.

Abstract -
Facial Recognition software is a fast growing industry, with developments coming its way every other day. With the rise in technology it is now more of a necessity to keep the data secure as the world is becoming entirely digitalized. To make sure the data is preserved facial recognition techniques are acquired, as they not only are faster and more secure, but have a higher accuracy rate compared to other recognitions. Many holistic and feature based techniques have been developed individually, but it is seen that the hybrid facial recognition technique combines the advantages of the individual techniques and hence gives a more precise recognition rate. This paper combines two individual approaches i.e. Karhunen Loeve technique and Hidden Markov Model to demonstrate a single code that recognizes the image based on the Eigen vector method and recall further images of the same person by using Hidden Markov Model. A simple GUI is also implemented for this code to make it more user-friendly.

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Keywords
Facial Recognition, Hybrid, Karhunen Loeve technique, Hidden Markov Model.