A fast sequential method for polygonal approximation of digitized curves
Computer Vision, Graphics, and Image Processing
A vision based method to automate map processing
Pattern Recognition
A Robust Algorithm for Text String Separation from Mixed Text/Graphics Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Analysis of Thinning Algorithms Using Mathematical Morphology
IEEE Transactions on Pattern Analysis and Machine Intelligence
Maris: map recognition input system
Pattern Recognition
Optical recognition of hand-printed characters of any size, position, and orientation
IBM Journal of Research and Development
Computer Processing of Line-Drawing Images
ACM Computing Surveys (CSUR)
Optical recognition of hand-printed characters of any size, position, and orientation
IBM Journal of Research and Development
OOPSLA '92 Addendum to the proceedings on Object-oriented programming systems, languages, and applications (Addendum)
Run-Based Algorithms for Binary Image Analysis and Processing
IEEE Transactions on Pattern Analysis and Machine Intelligence
Recognition of Digits in Hydrographic Maps: Binary Versus Topographic Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Sparse Pixel Vectorization: An Algorithm and Its Performance Evaluation
IEEE Transactions on Pattern Analysis and Machine Intelligence
GREC '99 Selected Papers from the Third International Workshop on Graphics Recognition, Recent Advances
Issues in Ground-Truthing Graphic Documents
GREC '01 Selected Papers from the Fourth International Workshop on Graphics Recognition Algorithms and Applications
A Scale and Rotation Parameters Estimator Application to Technical Document Interpretation
GREC '01 Selected Papers from the Fourth International Workshop on Graphics Recognition Algorithms and Applications
An Error-Correction Graph Grammar to Recognize Texture Symbols
GREC '01 Selected Papers from the Fourth International Workshop on Graphics Recognition Algorithms and Applications
Symbol Recognition: Current Advances and Perspectives
GREC '01 Selected Papers from the Fourth International Workshop on Graphics Recognition Algorithms and Applications
A Statistical and Structural Approach for Symbol Recognition, Using XML Modelling
Proceedings of the Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition
Character Recognition, Orientation, and Scale Estimation Thanks to the Fourier Mellin Transform
Proceedings of the Joint IAPR International Workshops on Advances in Pattern Recognition
A Map Mosaicking Method Using Opportunistic Search Approach with a Blackboard Structure
DAS '98 Selected Papers from the Third IAPR Workshop on Document Analysis Systems: Theory and Practice
Graphics Recognition - from Re-engineering to Retrieval
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 1
A Knowledge-Based Automated Vectorizing System for Geographic Information System
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 2 - Volume 2
A Graph Based Data Model for Graphics Interpretation
GbRPR '09 Proceedings of the 7th IAPR-TC-15 International Workshop on Graph-Based Representations in Pattern Recognition
| Hi-index | 4.10 |
A system for the automatic acquisition of land register maps is described. The system converts paper-based documents into digital form for integration into an existing database. Processing a map begins with its digitization by a scanning device. A key step in the system is the conversion from raster format to graph representation, a special binary image format suitable for processing line structures. Subsequent steps include vectorization of the line structures and recognition of the symbols interspersed in the drawing. The system requires operator interaction only to resolve ambiguities and correct errors in the automatic processes. The final result is a set of descriptors for all detected map entities, which is then stored in a database. It is shown that the image representation, vectorization techniques, and optical character recognition subsystem are quite general and that the methodology implemented in the system can be generalized to the acquisition of other classes of line drawings.