Name
Abstract | ||
|---|---|---|
In this paper we propose a hybrid symbol classifier within a global framework for online handwritten mathematical expression recognition. The proposed architecture aims at handling mathematical expression recognition as a simultaneous optimization of symbol segmentation, symbol recognition, and 2D structure recognition under the restriction of a mathematical expression grammar. To deal with the junk problem encountered when a segmentation graph approach is used, we consider a two level classifier. A symbol classifier cooperates with a second classifier specialized to accept or reject a segmentation hypothesis. The proposed system is trained with a set of synthetic online handwritten mathematical expressions. When tested on a set of real complex expressions, the system achieves promising results at both symbol and expression interpretation levels. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1117/12.840023 | DOCUMENT RECOGNITION AND RETRIEVAL XVII |
Keywords | Field | DocType |
Mathematic expressions, handwriting, recognition, segmentation, structural analysis, bi-dimensional languages | Graph,Handwriting,Pattern recognition,Expression (mathematics),Computer science,Segmentation,Symbol,Speech recognition,Grammar,Artificial intelligence,Document retrieval,Classifier (linguistics) | Conference |
Volume | ISSN | Citations |
7534 | 0277-786X | 3 |
PageRank | References | Authors |
0.40 | 9 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ahmad-Montaser Awal | 1 | 83 | 7.01 |
| Harold Mouchère | 2 | 107 | 14.46 |
| Christian Viard-Gaudin | 3 | 444 | 46.20 |