TY - GEN

T1 - Support vector machines for mathematical symbol recognition

AU - Malon, Christopher

AU - Uchida, Seiichi

AU - Suzuki, Masakazu

PY - 2006/1/1

Y1 - 2006/1/1

N2 - Mathematical formulas challenge an OCR system with a range of similar-looking characters whose bold, calligraphic, and italic varieties must be recognized distinctly, though the fonts to be used in an article are not known in advance. We describe the use of support vector machines (SVM) to learn and predict about 300 classes of styled characters and symbols.

AB - Mathematical formulas challenge an OCR system with a range of similar-looking characters whose bold, calligraphic, and italic varieties must be recognized distinctly, though the fonts to be used in an article are not known in advance. We describe the use of support vector machines (SVM) to learn and predict about 300 classes of styled characters and symbols.

UR - http://www.scopus.com/inward/record.url?scp=33749616628&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=33749616628&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:33749616628

SN - 3540372369

SN - 9783540372363

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 136

EP - 144

BT - Structural, Syntactic, and Statistical Pattern Recognition - Joint IAPR International Workshops, SSPR 2006 and SPR 2006, Proceedings

PB - Springer Verlag

T2 - Joint IAPR International Workshops on Structural, Syntactic, and Statistical Pattern Recognition, SSPR 2006 and SPR 2006

Y2 - 17 August 2006 through 19 August 2006

ER -