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Fourth International Conference Document Analysis and Recognition (ICDAR'97)
Recognizing components of handwritten characters by attributed relational graphs with stable features
Ulm, GERMANY
August 18-August 20
ISBN: 0-8186-7898-4
Xingyuan Li, Image Process. Dept., Syst. Eng. Res. Inst., Taejon, South Korea
Weon-Geun Oh, Image Process. Dept., Syst. Eng. Res. Inst., Taejon, South Korea
Jiarong Hong, Image Process. Dept., Syst. Eng. Res. Inst., Taejon, South Korea
Wen Gao, Image Process. Dept., Syst. Eng. Res. Inst., Taejon, South Korea
We present a method for Chinese character component recognition. We use an attributed relational graph model to describe a component. This model allows us to express the knowledge of the component shape and can include stable features of the component in various writing styles and various characters. We then describe a method to extract graph representation of an input character. The graph models are used to recognize components from a whole character by subgraph isomorphism. Our method need not segment component from character and can tolerate links and overlaps between a component and the other part. Experiments for handwritten Chinese characters show its efficiency.
Index Terms:
handwriting recognition; stable features; Chinese character component recognition; attributed relational graph model; component shape; writing styles; graph representation; input character; subgraph isomorphism; handwritten Chinese characters
Citation:
Xingyuan Li, Weon-Geun Oh, Jiarong Hong, Wen Gao, "Recognizing components of handwritten characters by attributed relational graphs with stable features," icdar, pp.616, Fourth International Conference Document Analysis and Recognition (ICDAR'97), 1997
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