The nature of statistical learning theory
The nature of statistical learning theory
Two-Dimensional PCA: A New Approach to Appearance-Based Face Representation and Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
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Automatic road sign recognition systems require a great computational cost since the number of different signs in each country is quite large. Inmany real-world applications only a reduced subset of traffic signs is considered in the recognition stage to verify the success of a classification algorithm. This paper proposes a optimization in the traffic sign identification task working in the spatial domain. This purpose is overcome through dimension reduction methods, such as 2DPCA and (2D)2PCA, to perform principal component analysis of training and test image vectors. The applications of these advances, using SVMs as classification technique, are shown here over a considerable database.