There is important information in the body text. In order to effectively extract the text area of the passenger car body, a modified binarization algorithm based on the bernsen algorithm is proposed for the body text characteristics. The algorithm is carried out on the sample of the passenger car. Experiments, and compared with the classical local threshold binarization methods bernsen, Niblack, Sauvola, etc., subjective visual assessment and objective image quality assessment (IQA) results show that the proposed method performs better in terms of preservation and differentiation of character regions.