基于滑动窗口的复杂文本图像二值化
Sliding window approach based Text Binarisation from Complex Textual images
摘要：
文本二值化过程将文本图像中的各个像素分类为文本或背景。二值化是必要的，以弥补定位和识别之间的差距通过OCR。本文提出了一种从具有纹理背景的文本图像中二值化文本的滑动窗口方法。首先应用适当的预处理技术来增加图像的对比度并模糊由于纹理背景而引起的背景噪声。然后利用迭代阈值法检测边缘。对生成的边缘盒进行分析，去除复杂背景下的多余边缘，并采用基于滑动窗口的字符尺寸均匀性检测算法对边缘盒进行二值化。该方法已被应用于局部区域从异构文本图像和比较Otsu，Niblack方法，并显示令人鼓舞的性能所提出的方法。
英文摘要：
Text binarisation process classifies individual pixels as text or background in the textual images. Binarization is necessary to bridge the gap between localization and recognition by OCR. This paper presents Sliding window method to binarise text from textual images with textured background. Suitable preprocessing techniques are applied first to increase the contrast of the image and blur the background noises due to textured background. Then Edges are detected by iterative thresholding. Subsequently formed edge boxes are analyzed to remove unwanted edges due to complex background and binarised by sliding window approach based character size uniformity check algorithm. The proposed method has been applied on localized region from heterogeneous textual images and compared with Otsu, Niblack methods and shown encouraging performance of the proposed method.
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