Sciweavers

ICDAR
2009
IEEE

Syntactic Detection and Correction of Misrecognitions in Mathematical OCR

13 years 1 months ago
Syntactic Detection and Correction of Misrecognitions in Mathematical OCR
This paper proposes a syntactic method for detection and correction of misrecognized mathematical formulae for a practical mathematical OCR system. Linear monadic context-free tree grammar (LM-CFTG) is employed as a formal framework to define syntactically acceptable mathematical formulae. For the purpose of practical evaluation, a verification system is developed, and the effectiveness of the method is demonstrated by using the ground-truthed mathematical document database InftyCDB-1 and a misrecognition database newly constructed for this study. A satisfactory number of misrecognitions are detected and delivered to the correction process.
Akio Fujiyoshi, Masakazu Suzuki, Seiichi Uchida
Added 18 Feb 2011
Updated 18 Feb 2011
Type Journal
Year 2009
Where ICDAR
Authors Akio Fujiyoshi, Masakazu Suzuki, Seiichi Uchida
Comments (0)