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2012 (Vol. 4, Issue: 21)
Article Information:

Courier Receipts Retrieval System Design Combining the Inverse Zernike Moments and the SIFT Features

Wenyin Ni, Jianxin Wang and Xiaohui Yan
Corresponding Author:  Wenyin Ni 

Key words:  Content based image retrieval, Scale Invariant Feature Transform (SIFT), zernike invariant moments, , , ,
Vol. 4 , (21): 4429-4431
Submitted Accepted Published
May 01, 2012 June 22, 2012 November 01, 2012
Abstract:

In response to the demand of the logistics industry’s application, a retrieval algorithm for logistics bill is proposed which combines the local feature with the global feature of images, which solved the problem of rotation positioning and applied to a set of practical courier receipts retrieval system. By using the scale invariance principle of the local features combined with Zernike invariant moments of the global features, we can quickly calculate the image rotating angle and make the exact match. Experimental results show that this method not only keeps the well precision and recall ratio ability of SIFT features, but also reduces the counting times which are required by fine matching.
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  Cite this Reference:
Wenyin Ni, Jianxin Wang and Xiaohui Yan, 2012. Courier Receipts Retrieval System Design Combining the Inverse Zernike Moments and the SIFT Features.  Research Journal of Applied Sciences, Engineering and Technology, 4(21): 4429-4431.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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