Abstract
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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Chen, D., Bourlard, H., Thiran, J.-P.: Text identification in complex background using SVM. In: Proc. of the Int. Conf. on Computer Vision and Pattern Recognition, vol. 2, pp. 621–626 (2001)
Ohya, J., Shio, A., Aksmatsu, S.: Recognizing characters in scene images. IEEE Trans. Pattern Analysis and Machine Intelligence 16, 214–220 (1994)
Zhong, Y., Karu, K., Jain, A.K.: Locating text in complex color images. Pattern Recognition 28, 1523–1536 (1995)
Sobottka, K., Bunke, H., Kronenberg, H.: Identification of text on colored book and journal covers. In: International Conference on Document Analysis and Recognition, pp. 57–63 (1999)
Wu, V., Manmatha, R., Riseman, E.M.: Textfinder: An automatic system to detect and recognize text in images. IEEE Trans. on Pattern Analysis and Machine Intelligence 20, 1224–1229 (1999)
Li, C., Ding, X., Wu, Y.: Automatic text location in natural scene images. In: International Conference on Document Analysis and Recognition, pp. 1069–1073 (2001)
Wang, K., Kangas, J.A.: Character location in scene images from digital camera. Pattern Recognition 36, 2287–2299 (2003)
Zhang, C., Wang, P.: A new method of color image segmentation based on intensity and hue clustering. In: International Conference on Pattern Recognition, vol. 3, pp. 3617–3621 (2000)
Ray, S., Turi, R.H.: Determination of number of clusters in K-means clustering and application in colour image segmentation. In: International Conference on Advances in Pattern Recognition and Digital Techniques, pp. 27–29 (1999)
Park, J.-H., Oh, I.-S.: Wavelet-based feature extraction from character images. In: Liu, J., Cheung, Y.-m., Yin, H. (eds.) IDEAL 2003. LNCS, vol. 2690, pp. 1092–1096. Springer, Heidelberg (2003)
Oh, I.-S., Suen, C.Y.: Distance features for neural network-based recognition of handwritten characters. International Journal on Document Analysis and Recognition 1, 73–88 (1998)
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© 2005 Springer-Verlag Berlin Heidelberg
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Park, J., Park, S. (2005). Detection of Text Region and Segmentation from Natural Scene Images. In: Bebis, G., Boyle, R., Koracin, D., Parvin, B. (eds) Advances in Visual Computing. ISVC 2005. Lecture Notes in Computer Science, vol 3804. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11595755_83
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DOI: https://doi.org/10.1007/11595755_83
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-30750-1
Online ISBN: 978-3-540-32284-9
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