Two-dimensional object recognition through two-stage string matching Export

@article{citeulike:4030952, abstract = {A two-stage string matching method for the recognition of two-dimensional (2-D) objects is proposed in this work. The first stage is a global cyclic string matching. The second stage is a local matching with local dissimilarity measure computing. The dissimilarity measure function of the input shape and the reference shape are obtained by combining the global matching cost and the local dissimilarity measure. The proposed method has the advantage that there is no need to set any parameter in the recognition process. Experimental results indicate that the hostage string matching approach significantly improves the recognition rates compared to the one-stage string matching method}, author = {Wu, Wen-Yen and Wang, Mao-Jiun J.}, booktitle = {Image Processing, IEEE Transactions on}, citeulike-article-id = {4030952}, citeulike-linkout-0 = {http://dx.doi.org/10.1109/83.772245}, citeulike-linkout-1 = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=772245}, doi = {10.1109/83.772245}, journal = {Image Processing, IEEE Transactions on}, keywords = {new\_2, recognition, string}, number = {7}, pages = {978--981}, posted-at = {2009-02-10 16:56:17}, priority = {2}, title = {Two-dimensional object recognition through two-stage string matching}, url = {http://dx.doi.org/10.1109/83.772245}, volume = {8}, year = {1999} }

TY - JOUR ID - citeulike:4030952 L3 - citeulike-article-id:4030952 N2 - A two-stage string matching method for the recognition of two-dimensional (2-D) objects is proposed in this work. The first stage is a global cyclic string matching. The second stage is a local matching with local dissimilarity measure computing. The dissimilarity measure function of the input shape and the reference shape are obtained by combining the global matching cost and the local dissimilarity measure. The proposed method has the advantage that there is no need to set any parameter in the recognition process. Experimental results indicate that the hostage string matching approach significantly improves the recognition rates compared to the one-stage string matching method IS - 7 JF - Image Processing, IEEE Transactions on EP - 981 TI - Two-dimensional object recognition through two-stage string matching VL - 8 T2 - Image Processing, IEEE Transactions on SP - 978 KW - new_2 KW - recognition KW - string AU - Wu, Wen-Yen AU - Wang, Mao-Jiun PY - 1999/// UR - http://dx.doi.org/10.1109/83.772245 ER -