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A robust document skew estimation algorithm using mathematical morphology

conference contribution
posted on 2008-01-04, 00:00 authored by Duc Thanh NguyenDuc Thanh Nguyen, Dai Binh Vo, Tu Mi Nguyen, Thuy Giang Nguyen
The most common problem of all document skew estimation methods using morphological operators is the limitation of skew angles and choosing the appropriate size for structuring elements. This paper introduces an improvement for methods based on mathematical morphology to estimate the skew of document images with arbitrary angles of orientation. Our proposed method can take advantages in being free with user parameters and adaptive with arbitrary skew angles of document images. Moreover, the experimental results and comparison with other methods reveal the potential of our proposed method in skew estimation not only for Latin documents but also for documents of other languages such as Japanese, Chinese, Thai, etc.

History

Event

ICATAI Tools with Artificial Intelligence. International Conference (19th : 2007 : Patras, Greece)

Pagination

496 - 503

Publisher

Institute of Electrical and Electronics Engineering (IEEE)

Location

Patras, Greece

Place of publication

Piscataway, N.J.

Start date

2007-10-29

End date

2007-10-31

ISBN-13

9780769530154

ISBN-10

0-7695-3015-X

Language

eng

Publication classification

E1.1 Full written paper - refereed

Copyright notice

2007, IEEE

Title of proceedings

ICTAI 2007 : Proceedings of the 19th IEEE International Conference on Tools with Artificial Intelligence

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