Fractal Techniques for Human Face Recognized Mail Accessor with Pattern Based Spam Filtering |
Author(s): |
| Ramyaa. A , K.S.R COLLEGE OF ENGINEERING; C. Thirumalaiselvan, K.S.R COLLEGE OF ENGINEERING |
Keywords: |
| Pattern classification, fractal detection, contour point detection, and spam filtering |
Abstract |
|
High effective authentication with the purpose of log on to the email service securely and efficient spamming are taken into Consideration. Normal authentication for logging into the email service by means of username and password characters are applicable in the existing system. But it is not secure because if anyone knows the password means they can access the mail. In proposed system, authentication in the form of fractal detection and recognition after contour detection of the face using the image of the user is introduced. Since fractal detection and recognition is an unique method to identify every human being, this concept is more effective in terms of authenticating into the service. Spam mail id and keyword filtering are the methods used in the existing system. Domain and url based spam filtering are the filtering techniques used in the proposed system. |
Other Details |
|
Paper ID: IJSRDV3I2172 Published in: Volume : 3, Issue : 2 Publication Date: 01/05/2015 Page(s): 144-147 |
Article Preview |
|
|
|
|
