Unsupervised Text Extraction from G-Maps

This paper represents an text extraction method from Google maps, GIS maps/images. Due to an unsupervised approach there is no requirement of any prior knowledge or training set about the textual and non-textual parts. Fuzzy CMeans clustering technique is used for image segmentation and Prewitt meth...

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Bibliographic Details
Published in:arXiv.org 2014-04
Main Author: Adak, Chandranath
Format: Article
Language:English
Subjects:
Clustering
Digital mapping
Fuzzy sets
Image detection
Image segmentation
Online Access:Get full text
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Summary:This paper represents an text extraction method from Google maps, GIS maps/images. Due to an unsupervised approach there is no requirement of any prior knowledge or training set about the textual and non-textual parts. Fuzzy CMeans clustering technique is used for image segmentation and Prewitt method is used to detect the edges. Connected component analysis and gridding technique enhance the correctness of the results. The proposed method reaches 98.5% accuracy level on the basis of experimental data sets.
ISSN:2331-8422
DOI:10.48550/arxiv.1404.6075