Video text recognition using sequential Monte Carlo and error voting methods
Pattern Recognition Letters
Display text segmentation after learning best-fitted OCR binarization parameters
Expert Systems with Applications: An International Journal
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This 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 the 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.