OBJECT DETECTION USING REAL TIME ALGORITHM WITH FACE RECOGNITION

S.Kasthuri, P.Ranjidha, R.Saranya

Abstract: A real and accurate object detection and Recognition technique is used to detect the real objects in the human face such as eye, nose etc…The face recognition is applicable to detect only the exact human face. But it does nose recognize the human face if there is any damage found in the face. To overcome these problem implement the Bayesian algorithm is used to detect the objects on human face like eye, nose etc... By using these algorithm the correct authorized user can be identified by comparing the current pixel values of the real object with the pixel values already stored in the database This system use C4 algorithm along with the MSRF (Multi Scale Random Field) because these methods are used to calculate only the neigbhouring pixel value by providing the fast rejection on the background image .Grayscale conversion from an RGB value results in the easy calculation of the pixel value. Pixel by pixel calculation is done and provides the secure authorization for the user against the hackers because the pixel value of an particular authorized person is entirely differ from the hackers, which can be get detected by SMAP (Sequential MAP)while handling transaction in an ATM Machine

Keywords: Multiscale random field, multiscale random field

DOI: https://doi.org/10.15623/ijret.2014.0302044