A Bottom Up Procedure for Text Line Segmentation of Latin Script

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Oct 09, 2017
Himanshu Jain, Archana Praveen Kumar
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In this paper we present a bottom up procedure for segmentation of text lines written or printed in the Latin script. The proposed method uses a combination of image morphology, feature extraction and Gaussian mixture model to perform this task. The experimental results show the validity of the procedure.

* Accepted and presented at the IEEE conference "International Conference on Advances in Computing, Communications and Informatics (ICACCI) 2017"  
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