NDLI: Gaussian Weighted Histogram Intersection for License Plate Classification

Content Provider	IEEE Xplore Digital Library
Author	Wenjing Jia Huaifeng Zhang Xiangjian He Qiang Wu
Copyright Year	2006
Description	Author affiliation: Comput. Vision Res. Group, Technol. Univ., Sydney, NSW (Wenjing Jia; Huaifeng Zhang; Xiangjian He; Qiang Wu)
Abstract	The conventional histogram intersection (HI) algorithm computes the intersected section of the corresponding color histograms in order to measure the matching rate between two color images. Since this algorithm is strictly based on the matching between bins of identical colors, the final matching rate can be easily affected by color variation caused by various environment changes. In this paper, a Gaussian weighted histogram intersection (GWHI) algorithm is proposed to facilitate the histogram matching via taking into account matching of both identical and similar colors. The weight is determined by the distance between two colors. The algorithm is applied to license plate classification. Experimental results show that the proposed algorithm produces a much lower intra-class distance and a much higher inter-class distance than previous HI algorithms for tested images which are captured under various illumination conditions
Sponsorship	IEEE CPS
Starting Page	574
Ending Page	577
File Size	165892
Page Count	4
File Format	PDF
ISBN	0769525210
ISSN	10514651
DOI	10.1109/ICPR.2006.596
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-08-20
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Histograms Licenses Lighting Computer vision Testing Information retrieval Image retrieval Content based retrieval Helium Color
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition

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