A comparison on histogram based image matching methods

Publication Type:
Conference Proceeding
Citation:
Proceedings - IEEE International Conference on Video and Signal Based Surveillance 2006, AVSS 2006, 2006
Issue Date:
2006-12-01
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Using colour histogram as a stable representation over change in view has been widely used for object recognition. In this paper, three newly proposed histogram-based methods are compared with other three popular methods, including conventional histogram intersection (HI) method, Wong and Cheung's merged palette histogram matching (MPHM) method, and Gevers' colour ratio gradient (CRG) method. These methods are tested on vehicle number plate images for number plate classification. Experimental results disclose that, the CRG method is the best choice in terms of speed, and the GWHI method can give the best classification results. Overall, the CECH method produces the best performance when both speed and classification performance are concerned. © 2006 IEEE.
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