Font recognition and contextual processing for more accurate text recognition

Author

Shi, Hongwei ; Pavlidis, Theo

Author_Institution

Dept. of Comput. Sci., State Univ. of New York, Stony Brook, NY, USA

Volume

1

fYear

1997

fDate

18-20 Aug 1997

Firstpage

39

Abstract

Font recognition and contextual processing are developed as two components that enhance the recognition accuracy of a text recognition system presented in a previous paper ((H. Shi and T. Pavlidis, 1996). Font information is extracted from two sources: one is the global page properties, and the other is the graph matching result of recognized short words such as a, it and of etc. Contextual processing is done by first composing word candidates from the recognition results and then checking each candidate with a dictionary through a spelling checker. Positional binary trigrams and word affixes are used to prune the search for word candidates

Keywords

character sets; document image processing; graph theory; search problems; spelling aids; word processing; accurate text recognition; contextual processing; dictionary; font information; font recognition; global page properties; graph matching result; positional binary trigrams; recognition accuracy; recognized short words; search pruning; spelling checker; text recognition system; word affixes; word candidates; Character recognition; Computer science; Dictionaries; Feature extraction; Image databases; Image generation; Image recognition; Optical character recognition software; Prototypes; Text recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Document Analysis and Recognition, 1997., Proceedings of the Fourth International Conference on

Conference_Location

Ulm

Print_ISBN

0-8186-7898-4

Type

conf

DOI

10.1109/ICDAR.1997.619810

Filename

619810