In this paper, we present an approach to the segmentation and detection of text region from natural scenes. Clustering-based natural scene segmentation is first considered based on the histogram of hue and intensity components separately. Secondly, text region extraction method is proposed by using wavelet-based features for representing the input patterns and neural network architecture for the classifier. The effectiveness and reliability of the proposed method is demonstrated through various natural scene images. The experimental results have proven that the proposed method is effective.
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- Detection of Text Region and Segmentation from Natural Scene Images
- Springer Berlin Heidelberg
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