Handwritten text localization in skewed documents

Author

Kavallieratou, E. ; Balcan, D.C. ; Popa, M.F. ; Fakotakis, N.

Author_Institution

Wire Commun. Lab., Patras Univ., Greece

Volume

1

fYear

2001

fDate

6/23/1905 12:00:00 AM

Firstpage

1102

Abstract

A system for handwritten text localization in document images is proposed. Our system performs skew angle correction using the Wigner-Ville distribution and localizes the handwritten areas of the document based on several measures concerning regularity in shape (self-correlation, horizontal and vertical symmetry) and in dimensions (aspect ratio, distribution of heights and widths). The proposed technique was tested on a variety of documents and successfully handled more than 88% of the set while the misclassified areas in the rest of the documents did not exceed six in any document

Keywords

Wigner distribution; correlation methods; document image processing; feature extraction; symmetry; Wigner-Ville distribution; aspect ratio; handwritten text localization; height distribution; horizontal symmetry; self-correlation; skew angle correction; skewed document images; text information extraction; vertical symmetry; width distribution; Area measurement; Computational complexity; Computational efficiency; Data mining; Histograms; IEEE members; Laboratories; Performance evaluation; Shape measurement; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 2001. Proceedings. 2001 International Conference on

Conference_Location

Thessaloniki

Print_ISBN

0-7803-6725-1

Type

conf

DOI

10.1109/ICIP.2001.959242

Filename

959242