Title :
Recognizing components of handwritten characters by attributed relational graphs with stable features
Author :
Li, Xingyuan ; Oh, Weon-Geun ; Jiarong Hong ; Gao, Wen
Author_Institution :
Image Process. Dept., Syst. Eng. Res. Inst., Taejon, South Korea
Abstract :
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
Keywords :
feature extraction; graph theory; handwriting recognition; natural languages; Chinese character component recognition; attributed relational graph model; component shape; graph representation; handwritten Chinese characters; input character; stable features; subgraph isomorphism; writing styles; Character recognition; Classification tree analysis; Handwriting recognition; Image processing; Image recognition; Image segmentation; Shape; Skeleton; Systems engineering and theory; Tree graphs;
Conference_Titel :
Document Analysis and Recognition, 1997., Proceedings of the Fourth International Conference on
Conference_Location :
Ulm
Print_ISBN :
0-8186-7898-4
DOI :
10.1109/ICDAR.1997.620577
