Line Separation for Complex Document Images Using Fuzzy Runlength

Authors:
Zhixin Shi;Venu Govindaraju
Affiliations:
-;-
Venue:
DIAL '04 Proceedings of the First International Workshop on Document Image Analysis for Libraries (DIAL'04)
Year:
2004

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Abstract

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.