A simple OCR method from strong perspective view

Abstract

Among many practical factors that need to be considered for a reliable character recognition system in 3D space, the location of the visual angle of a camera might play a crucial role. Different viewpoints in 3D space produces distorted license plate images in a camera. For this reason, a method is developed to segment and to recognize characters of license plate objects undergoing variant perspective view. A method for segmenting license plate characters on a moving vehicle in actual outdoor environment is based upon object contours. And the proposed method for recognizing is constructed from a feature-based approach, parameterized by an affine invariant parameters and the affine invariant features. Experimental results show that the performance of the proposed method is simple and robust, particularly when objects are heavily distorted with strong perspective view.