期刊名称：International Journal of Computer Trends and Technology
电子版ISSN：2231-2803
出版年度：2015
卷号：21
期号：2
页码：94-97
DOI：10.14445/22312803/IJCTT-V21P1117
出版社：Seventh Sense Research Group
摘要：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 userfriendly.
