A Judgment Algorithm for Inverted Chinese Text Image Based on Characteristics of Stroke
Wang Jing-zhon · Computer Technology and Development · 2014
Aiming at the problems of the judgment of inverted text image excessively relied on the punctuation and the text accuracy of judgment was not ideal,a newinversion judgment algorithm for Chinese text images is proposed. This algorithm makes full use of the outline of stroke and the characteristics of Chinese characters,on the basis of the left strokes founded by the software,using a particular algorithm to determine the direction of the text. The algorithm solves the problems above properly,at the same time,it has good effect for inversion judgment of distorted text image. The experimental results also verify the feasibility and effectiveness of this method. Compared with the existing inverted judgment algorithm,this method not only has more universal significance,efficiency and accuracy has also been largely increased.