Title :
Statistical Classification of Spatial Relationships among Mathematical Symbols
Author :
Aly, Walaa ; Uchida, Seiichi ; Fujiyoshi, Akio ; Suzuki, Masakazu
Author_Institution :
Dept. of Intell. Syst., Kyushu Univ., Fukuoka, Japan
Abstract :
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.
Keywords :
decision theory; image classification; mathematics computing; optical character recognition; statistical analysis; alphabetical characters; math OCR; mathematical symbols; spatial relationship classification; statistical classification; statistical decision method; structure analysis module; very large database; Character recognition; Data engineering; Handwriting recognition; Information analysis; Intelligent systems; Mathematics; Optical character recognition software; Spatial databases; Text analysis; Typesetting; geometric features; mathematical documents; mathematical symbols; spatial relationships;
Conference_Titel :
Document Analysis and Recognition, 2009. ICDAR '09. 10th International Conference on
Conference_Location :
Barcelona
Print_ISBN :
978-1-4244-4500-4
Electronic_ISBN :
1520-5363
DOI :
10.1109/ICDAR.2009.90
