Performance analysis of character segmentation approach for cursive script recognition on benchmark database
This paper analyzes the improved performance of our proposed character segmentation algorithm in comparison to others presented in the literature from accuracy and computational complexity points of view. The training set is taken from IAM and test set is from CEDAR benchmark databases. Segmentation...
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Main Authors: | , |
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Format: | Article |
Published: |
Elsevier Inc.
2011
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Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/29566/ http://dx.doi.org/10.1016/j.dsp.2011.01.016 |
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Institution: | Universiti Teknologi Malaysia |