Skew Detection for Complex Document Images Using Fuzzy Runlength

Zhixin Shi; Venu Govindaraju

doi:10.1109/ICDAR.2003.1227755

Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings.

Skew Detection for Complex Document Images Using Fuzzy Runlength

Year: 2003, Volume: 3, Pages: 715

DOI Bookmark: 10.1109/ICDAR.2003.1227755

Authors

Zhixin Shi, State University of New York at Buffalo
Venu Govindaraju, State University of New York at Buffalo

Abstract

A skew angle estimation approach based on the application of a fuzzy directional runlength is proposed for complex address images. The proposed technique was tested on a variety of USPS parcel images including both machine print and handwritten addresses. The testing results showed a successful rate more than 90% of the test set.

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Skew Detection for Complex Document Images Using Fuzzy Runlength

Authors

Abstract

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