Unsupervised Text Extraction from G-Maps

被引：0
作者：
Adak, Chandranath [1 ]
机构：
[1] Univ Kalyani, Dept Comp Sci & Engn, Kalyani 741235, W Bengal, India
来源：
2013 INTERNATIONAL CONFERENCE ON HUMAN COMPUTER INTERACTIONS (ICHCI) | 2013年
关键词：
clustering; connected component; Fuzzy C-Means clustering; gridding; text extraction; SEGMENTATION;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页数：4
相关论文
共 33 条
  • [1] Adak C., 2013, P PREMI 13 IN PRESS
  • [2] Alves W. A. L., 2010, Proceedings of the 23rd SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI 2010), P360, DOI 10.1109/SIBGRAPI.2010.55
  • [3] Angadi S. A., 2009, INT J IMAGE PROCESSI
  • [4] [Anonymous], INTRO MORPHOLOGICAL
  • [5] [Anonymous], Digital Image Processing
  • [6] [Anonymous], Pattern Recognition with Fuzzy Objective Function Algorithms
  • [7] Audithan S., 2009, EUROPEAN J SCI RES, V36, P502
  • [8] Babu G. Rama Mohan, 2010, Journal of Theoretical and Applied Information Technology, V16, P39
  • [9] Boussellaa Wafa, 2009, 2009 10th International Conference on Document Analysis and Recognition (ICDAR), P743, DOI 10.1109/ICDAR.2009.220
  • [10] Fabrizio J., 2009, CMRT09 CITYMODELS RO, VXxxviii, P199
1234