Title :
Research on Symbol Recognition for Mathematical Expressions
Author :
Tian, Xue-dong ; Li, Hai-Yan ; Li, Xin-fu ; Zhang, Li-Ping
Author_Institution :
Intelligent Image & Document Process. Lab., Hebei Univ.
fDate :
Aug. 30 2006-Sept. 1 2006
Abstract :
The recognition of mathematical symbols is an important step in the mathematical expression recognition system. It consists of two stages: symbol segmentation and symbol recognition. Aiming at the fact that the commercial OCR systems cannot recognize expression symbols correctly because of the differences between mathematical symbols and ordinary characters, we do lots of research work on the recognition of printed expressions. An approach that contains feedback mechanism is proposed for symbol segmentation and recognition. Firstly, projective features and connected components labeling method are used to segment symbols in expressions. Then the peripheral features and directional line element features are extracted from symbols. Finally, a coarse-to-fine classification strategy is employed to recognize symbols with these features. The experiments show that these methods can obtain satisfactory recognition accuracy with a high speed
Keywords :
feature extraction; image classification; image segmentation; mathematics; OCR systems; coarse-to-fine classification strategy; component labeling method; directional line element feature extraction; feedback mechanism; mathematical expression recognition system; peripheral feature extraction; symbol recognition; symbol segmentation; Character recognition; Feature extraction; High speed optical techniques; Image recognition; Image segmentation; Labeling; Optical character recognition software; Optical feedback; Robustness; Vehicle driving;
Conference_Titel :
Innovative Computing, Information and Control, 2006. ICICIC '06. First International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7695-2616-0
DOI :
10.1109/ICICIC.2006.506