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| Reconstruction of Handwriting Sequence Based on Stroke Segment for OffLine Handwritten Numerals |
| LI GuoHong, SHI PengFei |
| Institute of Image Processing and Pattern Recognition, Shanghai Jiaotong University, Shanghai 200030 |
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Abstract An approach to derive information about handwriting traces from stroke structures of handwritten numerals is proposed. An improvement to the algorithm for extracting fork points from skeleton images guarantees the completeness of extracted feature points, thus ensures the reliability of stroke restoration. The relation graph is created according to structural graph of stroke segments. The proposed algorithm for handwriting trace reconstruction is equal to the 〗algorithm of ordering the stroke segments in nature. Reconstruction is regarded as a globally optimal problem, and the handwriting trace is considered as the path with the totally minimal orientation variance, which can be resolved by searching a Hamiltonian path with minimal cost. Experimental results on UCI dataset indicate the proposed approach is effective to the reconstruction of handwriting traces of handwritten numerals.
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Received: 22 November 2004
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2006, Vol. 19 
