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Volume & Issue no: Volume 4, Issue 1, January - February 2015

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Title:
Multilingual Text Localization in Natural Scene Images using Wavelet based Edge Features and Fuzzy Classification
Author Name:
Shivananda V. Seeri, J. D. Pujari and P. S. Hiremath
Abstract:
Abstract The aim of this study is to propose a new methodology for text region localization and non text region removal in natural scene images with complex background. In this paper, a new hybrid approach is proposed which locates text with different backgrounds. The proposed approach uses Haar wavelet, edge features, K-Means clustering, fuzzy classification and threshold concepts. The text localization algorithm is designed to locate text in different kinds of images. The performance of the approach is demonstrated by presenting promising experimental results for a set of natural scene images taken from ICDAR dataset and own data set and is analyzed in terms of precision and recall rates. The proposed method is developed as a preprocessing technique for text recognition in natural scene images. Keywords: Natural scene image, Text localization, Haar wavelet, Sobel edge detector, K-means clustering, Mathematical Morphology
Cite this article:
Shivananda V. Seeri, J. D. Pujari and P. S. Hiremath , " Multilingual Text Localization in Natural Scene Images using Wavelet based Edge Features and Fuzzy Classification " , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS) , Volume 4, Issue 1, January - February 2015 , pp. 210-218 , ISSN 2278-6856.
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International Journal of Emerging Trends & Technology in Computer Science (IJETTCS)
ISSN 2278-6856
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