Technique for Estimating Position of the Pirate identification using Machine Learning Algorithms from an image

Information era, piracy converted a pivotal issue for the survival of the movie industry. Because of freebooting, the cinema industry suffers a substantial quantity of financial lose. The important task is to govern the position of the pirated person in the theater. An opinion to determine the image's tilt angle has been considered and interpreted for the transferring of data. This process can be used to govern the location of the person in the cinema theater. This planned work uses the Image steganography, Contour reframing, Deep Image prior and the PEM technique to find the image's tilt angle. Experimental output results show the validity of the future work.