Abstract | ||
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An automatic mathematical expression (ME) understanding system is presented. This system is consisted of three procedures, i.e., pre-processing, symbol segmentation, structure analysis among symbols within the ME. In symbol segmentation procedure, a three-stage segmentation method based on dynamic programming (DP) is introduced to segment symbols in the ME image. In structure analysis procedure, a ME is decomposed into several basic expressions based on reconstructing the ME global structure. Experimental results on about 3268 ME images showed that the presented system worked well. Top-1 ME recognition accuracy reached 78.2%. |
Year | DOI | Venue |
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2007 | 10.1109/ICDAR.2007.47 | ICDAR-1 |
Keywords | Field | DocType |
structure analysis procedure,understanding system,symbol segmentation procedure,structure analysis,automatic mathematical expression understanding,symbol segmentation,three-stage segmentation method,top-1 me recognition accuracy,me global structure,segment symbol,me image,optical character recognition,dynamic programming,image segmentation | Computer vision,Dynamic programming,Scale-space segmentation,Expression (mathematics),Pattern recognition,Computer science,Symbol,Segmentation,Optical character recognition,Segmentation-based object categorization,Image segmentation,Artificial intelligence | Conference |
ISSN | ISBN | Citations |
1520-5363 | 0-7695-2822-8 | 7 |
PageRank | References | Authors |
0.50 | 7 | 4 |