A cursive Korean character consists of several Korean alphabets where connection is present within and among the alphabets. Recognition of Korean characters can be carried out by splitting each character into smaller primitives. Small line segments can be used as the primitives. But this approach requires too much processing time, for there can be many candidate references to be matched to one input character and each reference usually consists of too many primitives. In this paper, we propose an approach using structural curvature models to overcome the difficulties of using small line segments. These models are obtained by segmenting the input character at the points showing sudden change in direction, excessive rotation, etc. By doing this, rather larger and structural curve segments can be used as the basic primitives to be matched resulting in the savings of processing time and better recognition rate

Meeting Name

3rd International Conference on Document Analysis and Recognition, 1995


Electrical and Computer Engineering

Second Department

Chemical and Biochemical Engineering

Keywords and Phrases

Korean Alphabets; Candidate References; Character Recognition; Curvature Models; Image Matching; Line Segments; Online Cursive Korean Character Recognition; Primitives; Structural Curvature Models

Document Type

Article - Conference proceedings

Document Version

Final Version

File Type





© 1995 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.

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