A vectorizer and feature extractor for document recognition
Computer Vision, Graphics, and Image Processing
Perceptually-Based Representation of Network Diagrams
ICDAR '97 Proceedings of the 4th International Conference on Document Analysis and Recognition
A high quality vectorization combining local quality measures and global constraints
ICDAR '95 Proceedings of the Third International Conference on Document Analysis and Recognition (Volume 1) - Volume 1
Symbol Recognition: Current Advances and Perspectives
GREC '01 Selected Papers from the Fourth International Workshop on Graphics Recognition Algorithms and Applications
Perceptual Organization as a Foundation for Graphics Recognition
GREC '01 Selected Papers from the Fourth International Workshop on Graphics Recognition Algorithms and Applications
A method for symbol spotting in graphical documents
DAS'06 Proceedings of the 7th international conference on Document Analysis Systems
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This paper presents a new strategy for localization and recognition of graphical entities in handwritten chemical formulas. The first part of the paper describes the context of this study. Next, the tools and methods needed for the automatic interpretation are defined. Our system includes a first phase of global perception of the document followed by a phase of incremental extraction of the sentation of the drawing and provides a precise description of all the shapes present in the initial image. Thereafter, this representation constitutes the main resource that will be used by different processes (specialists) achieving the interpretation of the drawing. The knowledge extracted from the intermediary representation (a structural graph) is used instead of the bitmap image material to drive the interpretation process.