Digital Image Features Stabilization for Several Different Rotation Modes

Abstract

Gray and color digital images are used in many vital applications; such as fingerprint or face recognition. These applications require dealing with the digital image as a single image, even if this image is rotated with different rotation angles. This paper deals with using the digital image histogram to set image features and for multiple models of image rotation. A detailed study and analysis of wavelet packet tree decomposition will be introduced; various experiments will be done to show how to stabilize the image features for multiple modes of the image.