New algorithms for skewing correction and slant removal on word-level [OCR]

Author

Kavallieratou, E. ; Fakotakis, N. ; Kokkinakis, G.

Author_Institution

Wire Commun. Lab., Patras Univ., Greece

Volume

2

fYear

1999

fDate

5-8 Sep 1999

Firstpage

1159

Abstract

The word preprocessing is a crucial stage of OCR systems. Here we present two algorithms appropriate for this stage. The first one corrects the skewing of words and the second removes the slant from handwritten words. Both algorithms make use of the Wigner-Ville distribution and the projection profile technique. The algorithms have been tested on words taken from more than 200 writers and the results obtained can be considered very satisfactory, since the overall accuracy of our OCR system is notably improved

Keywords

Wigner distribution; handwritten character recognition; optical character recognition; word processing; OCR systems; Wigner-Ville distribution; handwritten words; overall accuracy; projection profile technique; skewing correction; slant removal; word preprocessing; Character recognition; Laboratories; Optical character recognition software; Pattern recognition; Sections; Signal analysis; Signal processing; Signal processing algorithms; Time frequency analysis; Wire;

fLanguage

English

Publisher

ieee

Conference_Titel

Electronics, Circuits and Systems, 1999. Proceedings of ICECS '99. The 6th IEEE International Conference on

Conference_Location

Pafos

Print_ISBN

0-7803-5682-9

Type

conf

DOI

10.1109/ICECS.1999.813439

Filename

813439