Abstract
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.
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Ramel, JY., Boissier, G., Emptoz, H. (2000). A Structural Representation Adapted to Handwritten Symbol Recognition. In: Chhabra, A.K., Dori, D. (eds) Graphics Recognition Recent Advances. GREC 1999. Lecture Notes in Computer Science, vol 1941. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-40953-X_19
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DOI: https://doi.org/10.1007/3-540-40953-X_19
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