NDLI: Coin recognition using image abstraction and spiral decomposition

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Coin recognition using image abstraction and spiral decomposition

Content Provider	IEEE Xplore Digital Library
Author	Chalechale, A.
Copyright Year	2007
Description	Author affiliation: Dept. of Comput., Razi Univ., Kermanshah (Chalechale, A.)
Abstract	This paper presents a novel approach for coin image recognition. The approach enables measuring the similarity between full color multi-component coin images and needs no cost intensive image segmentation. A novel procedure, based on strong edges of the coin image, is exploited to derive an abstract image. Spiral decomposition of pixels in the abstract image is then used to extract a set of compact and effective features. The query set and the image database used in the tests are scanned, photographed, or collected from the web. The results are compared with three other well-known approaches within the literature. Experimental results show significant improvement in the Recall ratio using the proposed features.
Starting Page	1
Ending Page	4
File Size	482040
Page Count	4
File Format	PDF
ISBN	9781424407781
DOI	10.1109/ISSPA.2007.4555308
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-02-12
Publisher Place	United Arab Emirates
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image recognition Spirals Feature extraction Histograms Pixel MPEG 7 Standard Image retrieval Image segmentation Indexing Fourier transforms
Content Type	Text
Resource Type	Article

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