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This paper makes use of Coherence Vector of Oriented Gradients (CVOG) for traffic sign recognition. Experiments are conducted on German Traffic Sign benchmark dataset. The results on traffic sign recognition using CVOG features with neural network classifier is promising. The results based on the combination of other features gave better recognition rates.
Journal impact factors are not representatives of the quality measures of individual journal articles, authors and quality factor of journals. Hence, due to the high necessity of quality measures, this paper presents new quality measures for journals, authors and individual journal articles.