Title :
The study on the detection and recognition of the printed formula
Author :
Li, Yonghua ; Wang, Kejun ; Guo, Qinchang ; Wu, Junfei
Author_Institution :
Coll. of Autom., Harbin Eng. Univ., Harbin
Abstract :
At present, the widely applied OCR system has a high recognition for printed texts, however it doesn´t have a good recognition schema for formulas. In order to locate and recognize printed formulas accurately, this paper conducted researches according to the following several aspects: use Adaboost method to locate formulas automatically, image processing to obtain thinned formula area, moment method to revise formulas, domain method to segment formulas, template feature method to recognize characters, and two dimensional structural analysis based on character feature to recognize formulas. The method presented in this paper can achieve a good recognition.
Keywords :
character recognition; feature extraction; image recognition; learning (artificial intelligence); method of moments; Adaboost method; OCR system; character recognition; moment method; printed formula recognition; printed texts; Automation; Character recognition; Educational institutions; Image processing; Image recognition; Image segmentation; Mechatronics; Moment methods; Optical character recognition software; Text recognition;
Conference_Titel :
Mechatronics and Automation, 2008. ICMA 2008. IEEE International Conference on
Conference_Location :
Takamatsu
Print_ISBN :
978-1-4244-2631-7
Electronic_ISBN :
978-1-4244-2632-4
DOI :
10.1109/ICMA.2008.4798775
