移动设备名片图像二值化
Binarizing Business Card Images for Mobile Devices
摘要：
名片图像具有多种性质，因为这些通常包含背景和前景中各种字体和大小的图形，图片和文本。因此，传统的文档图像二值化技术不能直接应用于移动设备。在本文中，我们提出了一种快速二值化技术的相机拍摄的名片图像。卡片图像被分割成小块。这些块中的一些基于强度方差被分类为背景的一部分。然后，非文本区域被消除，文本区域使用简单但自适应的技术进行倾斜校正和二值化。实验表明，该方法快速、高效，适用于移动设备。
英文摘要：
Business card images are of multiple natures as these often contain graphics, pictures and texts of various fonts and sizes both in background and foreground. So, the conventional binarization techniques designed for document images can not be directly applied on mobile devices. In this paper, we have presented a fast binarization technique for camera captured business card images. A card image is split into small blocks. Some of these blocks are classified as part of the background based on intensity variance. Then the non-text regions are eliminated and the text ones are skew corrected and binarized using a simple yet adaptive technique. Experiment shows that the technique is fast, efficient and applicable for the mobile devices.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
