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This paper mainly aimed to evaluate the performance of a high level Histogram of Oriented Gradients (i.e., HOG) calculations on labeled image instead of low level block processing on the entire image in pattern recognition and specifically investigate its effectiveness on road sign identification. It was shown that by calculating HOG on the contours of segmented image, not only the final results are promising, but also the amount of processing is significantly reduced and a higher speed is gained.