Grapheme Segmentation and Recognition in Machine Printed Hangul Characters
Changping Liu · Zhongwen xinxi xuebao · 2006
Hangul is composed of graphemes of characters which represent.consonants and vowels in korean.One important Hangul character recognition method is thus the approach of separating each grapheme of character and identifying the separated graphemes independently.For separating graphemes,this paper proposes a background-thinning technique combining structural information of characters.then,the separated graphemes are recognized by a statistical method using peripheral features.In a test case with machine printed Hanguls of 4 fonts,the proposed approach achieved 97.4% of grapheme segmentation rate,and over 99% of grapheme recognition rate.