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First International Workshop on Document Image Analysis for Libraries (DIAL'04)
Line Separation for Complex Document Images Using Fuzzy Runlength
Palo Alto, California
January 23-January 24
ISBN: 0-7695-2088-X
Zhixin Shi, State University of New York at Buffalo
Venu Govindaraju, State University of New York at Buffalo
A new text line location and separation algorithm for complex handwritten documents is proposed. The algorithm is based on the application of a fuzzy directional runlength. The proposed technique was tested on a variety of complex handwritten document images including postal parcel images and historical handwritten documents such as Newton?s and Galileo?s manuscripts. A preliminary testing showed a successful rate of 93% of the test set.
Citation:
Zhixin Shi, Venu Govindaraju, "Line Separation for Complex Document Images Using Fuzzy Runlength," dial, pp.306, First International Workshop on Document Image Analysis for Libraries (DIAL'04), 2004
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