Optical formula recognition based on structural features
Xue-Dong Tian
Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on
Volume 6, Issue , 26-29 Aug. 2004 Page(s): 3741 - 3745 vol.6
Digital Object Identifier  
Summary: Automatic recognition of formulas is one of the key parts in an OCR system. It could be really useful to be able to re-use knowledge in the scientific books which are not available in electronic form. A method of optical formula recognition is described. It consists of two major steps, namely, symbol recognition and structural analysis. Firstly, the search and process connect the components to gain the symbol components followed by symbol recognition. After that, we analyze the structure of the formula on the basis of the recognition result and the geometry features. The system works reliably on almost noiseless images obtained by scanning among the usual documents clearly printed.

» View citation and abstract

Log in by entering your IEEE Web Account Username and Password.

IEEE Communications Society members: If you subscribe to the IEEE Electronic Periodicals Package or IEEE Electronic Periodicals Package Plus, you must access your subscription at www.comsoc.org.

Check with your librarian, information professional, or system manager to determine if you need to log in. Please complete the online Technical Support Form if you need assistance.

Select the Purchase History link to access the document. You will have 5 Days after purchase to access the Full Text PDF. Please complete the online Technical Support Form if you need assistance.

• Search and access Abstract records free of charge
• Register for table of contents alerts
• Purchase Full Text PDF documents

» Learn more about subscription options or how to become an IEEE Member.