Ieee Transactions on Pattern Analysis and Machine Intelligence, Manuscript Id a Laplacian Approach to Multi-oriented Text Detection in Video
Ieee Transactions on Pattern Analysis and Machine Intelligence, Manuscript Id a Laplacian Approach to Multi-oriented Text Detection in Video
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通讯作者：
P. Shivakumara;Trung Quy Phan;Chew Lim;Tan
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作者：
P. Shivakumara;Trung Quy Phan;Chew Lim;Tan
本文提出了一种基于频域拉普拉斯算子的视频文本检测方法。与许多其他方法，假设文本是水平方向的，我们的方法是能够处理任意方向的文本。输入图像首先用Fourier-Laplacian滤波。然后使用K均值聚类来识别基于最大差异的候选文本区域。每个连接组件的骨架有助于将不同的文本字符串相互分离。最后，利用文本串的直线度和边缘密度来消除误报。实验结果表明，该方法能够处理水平和非水平方向的图形文本和场景文本。
—In this paper, we propose a method based on the Laplacian in the frequency domain for video text detection. Unlike many other approaches which assume that text is horizontally-oriented, our method is able to handle text of arbitrary orientation. The input image is first filtered with Fourier-Laplacian. K-means clustering is then used to identify candidate text regions based on the maximum difference. The skeleton of each connected component helps to separate the different text strings from each other. Finally, text string straightness and edge density are used for false positive elimination. Experimental results show that the proposed method is able to handle graphics text and scene text of both horizontal and non-horizontal orientation.