Contour Point Face Recognized Gmail Accessor with Pattern Based Spam Detector
I E. Komathi, Ashish Mani · 2014
Pattern recognition is used in security applications like biometric authentication, intrusion detection, and spam detection for identifying legitimate and malicious pattern class. Pattern classification shows that a there is a trade-off between classifier accuracy and security to achieve matching and reduce the storage for each e-mail content text which can be exploited for several purposes. In nature e-mail cannot fully catch the spams by comparing the keywords and URL located in the repository using top-down parsing search algorithm. If the tags are matched, the e-mail will be spam domain and URL will be stored for future rejection of spam e-mail. In the proposed system image sets are followed by the metric and the models are compared. A set of values which are available in a linear space are selected and converted to individual image set by a convex geometric region. The feature points set dissimilarity is measured by geometric distance between the convex models. Keyword Fractal code, Face recognition, Pattern recognition, Contour point, Spam Filter