Efficient algorithms for segmentation and recognition of printed characters in document processing

Author

Liang, Su ; Shridhar, M. ; Ahmadi, M.

Author_Institution

Dept. of Electr. Eng., Windsor Univ., Ont., Canada

Volume

1

fYear

1993

fDate

19-21 May 1993

Firstpage

240

Abstract

A novel discrimination function for segmenting touching characters based on both pixel projection and profile projection is given. A dynamic recursive segmentation algorithm is developed for effectively segmenting touching characters. Contextual information is used to correct errors. An effective method for detecting and correcting the slant in italicized fonts is also presented. The overall character recognition rate is 99.85% based on the total of 36,000 characters with about 40% touching characters

Keywords

document image processing; error correction; image segmentation; optical character recognition; recursive estimation; character recognition rate; discrimination function; document processing; dynamic recursive segmentation algorithm; italicized fonts; pixel projection; profile projection; recognition of printed characters; touching characters; Buildings; Character recognition; Decision trees; Error correction; Heuristic algorithms; Partitioning algorithms; Robustness; Tree data structures;

fLanguage

English

Publisher

ieee

Conference_Titel

Communications, Computers and Signal Processing, 1993., IEEE Pacific Rim Conference on

Conference_Location

Victoria, BC

Print_ISBN

0-7803-0971-5

Type

conf

DOI

10.1109/PACRIM.1993.407179

Filename

407179