Optical Character Recognition (OCR), which is generally based on figure recognition, is mainly effective for extracting text from pictures. However, it is a challenge to maintain a high recognition rate without being affected by light interference in a complicated environment. To reduce the light interference for improving the OCR recognition rate, this article proposes a method utilizing single-pixel imaging to obtain images without light interference for character recognition. Unlike the traditional CCD/CMOS-based imaging relying on image post-processing to eliminate interference, the method proposed without the need of any image post-processing which is a cumbersome process and often leads to a deterioration in the quality of the obtained images. Theoretical analysis shows that single-pixel imaging can eliminate the light interference in certain conditions completely. The verification experiments demonstrate that single-pixel imaging can only image the target and ignore an introduced highlighted stripe, whereas traditional CCD/CMOS-based imaging can not eliminate the effects of the stripe without image post-processing. Comparison experiments in contrast with the character recognition rate of the picture obtained from traditional imaging demonstrate the counterpart obtained from single-pixel imaging increased from 88.64% to 97.73%. The evaluation index of correlation and image quality illustrates that the picture obtained by single-pixel imaging has a higher correlation with the target picture and better image quality than the counterpart of the picture obtained from traditional imaging. When the character recognition rate of the picture obtained by traditional imaging is 0% by adding a serious interference pattern from a projector, the counterpart by single-pixel imaging is 95.45%. This approach provides a welcome boost to the development of the application of single-pixel imaging in character recognition by reducing the light interference, which provides a potential direction for the development of OCR to obtain higher recognition success rate under a complex environment.

光学字符识别（OCR）通常基于图形识别，主要用于从图片中提取文本。然而，在复杂环境中保持高识别率而不受到光干扰的挑战。为了减少光干扰以提高OCR识别率，本文提出了一种利用单像素成像获得无光干扰的图像进行字符识别的方法。与依赖于图像后处理来消除干扰的传统的基于CCD / CMOS的成像不同，所提出的方法不需要任何图像后处理，这是一个繁琐的过程，并且常常导致获得的图像质量下降。理论分析表明，单像素成像可以在一定条件下完全消除光干扰。验证实验表明，单像素成像只能对目标成像，而忽略引入的突出显示的条纹，而传统的基于CCD / CMOS的成像如果没有图像后处理，则无法消除条纹的影响。与通过传统成像获得的图像的字符识别率相比，对比实验表明，从单像素成像获得的对应图像从88.64％增加到97.73％。相关性和图像质量的评价指标表明，与从传统成像获得的图像相比，通过单像素成像获得的图像与目标图像具有更高的相关性，并且图像质量更好。当通过添加来自投影仪的严重干涉图案而使通过传统成像获得的图像的字符识别率为0％时，通过单像素成像获得的图像的字符识别率为95.45％。这种方法通过减少光干扰，为单像素成像在字符识别中的应用发展提供了令人欢迎的推动力，这为开发OCR在复杂环境下获得更高的识别成功率提供了潜在的方向。