DocumentCode
3071144
Title
Unsupervised text extraction from G-maps
Author
Adak, Chandranath
Author_Institution
Dept. of Comput. Sci. & Eng., Univ. of Kalyani, Kalyani, India
fYear
2013
fDate
23-24 Aug. 2013
Firstpage
1
Lastpage
4
Abstract
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 C-Means 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.
Keywords
document image processing; edge detection; fuzzy set theory; image segmentation; pattern clustering; text detection; unsupervised learning; G-maps; GIS maps; Google maps; Prewitt method; connected component analysis; edge detection; fuzzy C-means clustering; gridding technique; image segmentation; unsupervised text extraction; Accuracy; Data mining; Google; Graphics; Image edge detection; Image segmentation; Fuzzy C-Means clustering; clustering; connected component; gridding; text extraction;
fLanguage
English
Publisher
ieee
Conference_Titel
Human Computer Interactions (ICHCI), 2013 International Conference on
Conference_Location
Chennai
Type
conf
DOI
10.1109/ICHCI-IEEE.2013.6887782
Filename
6887782
Link To Document