A video text extraction method for character recognition

Abstract

The paper presents a method to precisely extract only video character portions from a video text rectangle region in order to make a readable image for OCR. In conventional methods, gray image binarization processing with a given threshold is employed to extract high-intensity video character regions. A video has a complex background with various kinds of intensity so that appropriate thresholds are not always obtained. The proposed method extracts reliable high-intensity regions in a video text region and then expands them in order to make the whole video character regions. The experiments show this new method to be superior to the conventional methods.