TY - GEN
T1 - Statistical classification of spatial relationships among mathematical symbols
AU - Aly, Walaa
AU - Uchida, Seiichi
AU - Fujiyoshi, Akio
AU - Suzuki, Masakazu
PY - 2009
Y1 - 2009
N2 - In this paper, a statistical decision method for automatic classification of spatial relationships between each adjacent pair is proposed. Each pair is composed of mathematical symbols and/or alphabetical characters. Special treatment of mathematical symbols with variable size is important. This classification is important to recognize an accurate structure analysis module of math OCR. Experimental results on a very large database showed that the proposed method worked well with an accuracy of 99.57% by two important geometric feature relative size and relative position.
AB - In this paper, a statistical decision method for automatic classification of spatial relationships between each adjacent pair is proposed. Each pair is composed of mathematical symbols and/or alphabetical characters. Special treatment of mathematical symbols with variable size is important. This classification is important to recognize an accurate structure analysis module of math OCR. Experimental results on a very large database showed that the proposed method worked well with an accuracy of 99.57% by two important geometric feature relative size and relative position.
UR - http://www.scopus.com/inward/record.url?scp=71249147245&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=71249147245&partnerID=8YFLogxK
U2 - 10.1109/ICDAR.2009.90
DO - 10.1109/ICDAR.2009.90
M3 - Conference contribution
AN - SCOPUS:71249147245
SN - 9780769537252
T3 - Proceedings of the International Conference on Document Analysis and Recognition, ICDAR
SP - 1350
EP - 1354
BT - ICDAR2009 - 10th International Conference on Document Analysis and Recognition
T2 - ICDAR2009 - 10th International Conference on Document Analysis and Recognition
Y2 - 26 July 2009 through 29 July 2009
ER -