Handwritten text localization in skewed documents

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 vert...

Full description

Saved in:
Bibliographic Details
Published inProceedings 2001 International Conference on Image Processing (Cat. No.01CH37205) Vol. 1; pp. 1102 - 1105 vol.1
Main Authors Kavallieratou, E., Balcan, D.C., Popa, M.F., Fakotakis, N.
Format Conference Proceeding
LanguageEnglish
Published IEEE 2001
Subjects
Area measurement
Computational complexity
Computational efficiency
Data mining
Histograms
IEEE members
Laboratories
Performance evaluation
Shape measurement
Testing
Online AccessGet full text

Cover

More Information
Summary: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.
ISBN:0780367251
9780780367258
DOI:10.1109/ICIP.2001.959242