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Study on Face recognition algorithm using the eye detection
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 Title & Authors
Study on Face recognition algorithm using the eye detection
Park, Byung-Joon; Kim, Ki-young; Kim, Sun-jib;
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 Abstract
Cloud computing has emerged with promise to decrease the cost of server additional cost and expanding the data storage and ease for computer resource sharing and apply the new technologies. However, Cloud computing also raises many new security concerns due to the new structure of the cloud service models. Therefore, the secure user authentication is required when the user is using cloud computing. This paper, we propose the enhanced AdaBoost algorithm for access cloud security zone. The AdaBoost algorithm despite the disadvantage of not detect a face inclined at least 20, is widely used because of speed and responsibility. In the experimental results confirm that a face inclined at least 20 degrees tilted face was recognized. Using the FEI Face Database that can be used in research to obtain a result of 98% success rate of the algorithm perform. The 2% failed rate is due to eye detection error which is the people wearing glasses in the picture.
 Keywords
Face cognition;Eye Detection;Haar Feature;Rotation Transform;Image Processing;
 Language
Korean
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