License Plate Identification in Complex Background Videos

Object segmentation is the process of ion of object from an image or video frame. There are several techniques available to handle object segmentation from video frames. Existing methods have mainly two problems such as they do not consider the spatial parameters of an object in a frame, and it is not possible to handle complex scenes with highly dynamic background movements with existing methods. With varying scales, a robust analysis mechanism is required to handle background regions or foreground movements. This paper proposes a solution to these problems and provides an efficient algorithm to overcome these problems and advanced features like object identification also included. Main objective of the paper is number plate or license plate identification from complex background videos using the technique Optical Character Recognition.