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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