A Method Based on Orientation Field for Skew Correction of License Plate

Publisher:
IEEE Industrial Electronics Society
Publication Type:
Conference Proceeding
Citation:
2009 Second Asia-Pacific Conference on Computational Intelligence and Industrial Applications, 2009, pp. 308 - 311
Issue Date:
2009-01
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Character recognitions are generally very sensitive to skew in the automatic license plate recognition (ALPR) system. The skew correction of license plate thus is an important step in ALPR. In this paper, we propose an orientation-based method for skew detection. The license plate image is firstly divided into a set of 5x5 non-overlapping blocks. The local orientation of each black is estimated by gradients of pixels in the block. Next, the direction histogram which can reveal the overall orientation information in the license plate image is counted. The skew angle of license plate is detected by the local maximum of the direction histogram. The experimental results demonstrate the great robustness and efficiency of our method.
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