Computer Science ›› 2010, Vol. 37 ›› Issue (11): 287-288.
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TANG Jin,LIU Bo,CAI Zi-xing,XIE Bin
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Abstract: This paper proposed a feature extraction method for traffic sign recognition based on Two-Dimensional Principal Component Analysis (2DPCA). A series of experiments were performed on two traffic sign databases with the nearest neighbor classifier and Euler distance. One database is the image library in which images are obtained through a series of simulation transformation after image binarization, While another database is made up of images shot from real scenes through selecting many different location scenes. The method has a good effect on the recognition of the both image databases.
Key words: Pattern recognition,Traffic sign recognition, 2DPCA, Feature extraction
TANG Jin,LIU Bo,CAI Zi-xing,XIE Bin. Traffic Sign Recognition Based on Two-dimensional Principal Component Analysis[J].Computer Science, 2010, 37(11): 287-288.
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