DocumentCode :
2870947
Title :
A syntactic approach for processing mathematical expressions in printed documents
Author :
Garain, U. ; Chaudhuri, B.B.
Author_Institution :
Comput. Vision & Pattern Recognition Univ., Indian Statical Inst., Calcutta, India
Volume :
4
fYear :
2000
fDate :
2000
Firstpage :
523
Abstract :
We propose an approach for understanding mathematical expressions in printed documents. The overall approach is divided into three main steps: (i) detection of mathematical expressions in a document, (ii) recognition of the symbols present in the expression and (iii) arrangement of the recognized symbols. The detection of mathematical expressions is done through recognition of a few most common symbols and exploiting some structural features of the expressions. A hybrid of feature based and a template-based technique is used for the recognition of symbols. A two-pass approach is used for arrangement of the symbols. The first pass (scanning or lexical analysis) performs a micro-level examination of the symbols in order to identify the symbol groups occurring in them and to determine their categories or descriptors. The second pass (parsing or syntax analysis) processes the descriptors synthesized in the first pass, to determine the syntactic structure of the expression. A set of predefined rules guides the activities in both the passes. Experiments conducted using this approach on a large number of documents show high accuracy
Keywords :
document image processing; grammars; optical character recognition; feature based technique; lexical analysis; mathematical expressions; micro-level symbol examination; parsing; printed documents; scanning; symbol groups; syntactic approach; syntax analysis; template-based technique; two-pass approach; Books; Computer vision; Document handling; Equations; Optical character recognition software; Pattern recognition; Performance analysis; Testing; White spaces;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 2000. Proceedings. 15th International Conference on
Conference_Location :
Barcelona
ISSN :
1051-4651
Print_ISBN :
0-7695-0750-6
Type :
conf
DOI :
10.1109/ICPR.2000.902972
Filename :
902972
Link To Document :
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