Text line segmentation of unconstrained handwritten Kannada script

Authors:
V. N. Manjunath Aradhya;C. Naveena
Affiliations:
Dayananda Sagar College of Engineering, Bangalore, India;Dayananda Sagar College of Engineering, Bangalore, India
Venue:
Proceedings of the 2011 International Conference on Communication, Computing & Security
Year:
2011

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Abstract

Separating text lines in handwritten documents remains a challenge because the text lines are often varying skewed and curved. In this paper, we propose a novel method for text line segmentation of unconstrained handwritten Kannada script. The proposed method consists of two phases. In the first phase, mathematical morphology technique is used to bridge the gap between character components. In the Second phase, component extension technique is used for text line extract. We experimentally evaluated our proposed method on document containing handwritten Kannada script and showed encourage results.