Abstract
This paper proposes a character segmentation system for Korean printed postal images. The proposed method is composed of two main processes, which are robust skew correction and character segmentation. Experimental results on real postal images show that the proposed system effectively segments characters to be suitable for the input of OCR system.
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References
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© 2005 Springer-Verlag Berlin Heidelberg
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Jang, SK., Shin, JH., Oh, HH., Jang, SI., Chien, SI. (2005). Robust Character Segmentation System for Korean Printed Postal Images. In: Ali, M., Esposito, F. (eds) Innovations in Applied Artificial Intelligence. IEA/AIE 2005. Lecture Notes in Computer Science(), vol 3533. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11504894_13
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DOI: https://doi.org/10.1007/11504894_13
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-26551-1
Online ISBN: 978-3-540-31893-4
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