Robust Character Segmentation System for Korean Printed Postal Images
Identifieur interne : 001239 ( Main/Merge ); précédent : 001238; suivant : 001240Robust Character Segmentation System for Korean Printed Postal Images
Auteurs : Sung-Kun Jang [Corée du Sud] ; Jung-Hwan Shin [Corée du Sud] ; Hyun-Hwa Oh [Corée du Sud] ; Seung-Ick Jang [Corée du Sud] ; Sung-Il Chien [Corée du Sud]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2005.
Abstract
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.
Url:
DOI: 10.1007/11504894_13
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<front><div type="abstract" xml:lang="en">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.</div>
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