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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Ru-Shi Lan Jian-Wei Yang Tang, Y.Y. |
| Copyright Year | 2009 |
| Description | Author affiliation: Department of Computer Science, Hong Kong Baptist University, Kowloon Tong, China (Tang, Y.Y.) || College of Math & Physics, Nanjing University of Information Science & Technology, 210044, China (Ru-Shi Lan; Jian-Wei Yang) |
| Abstract | A method, referred to as Composite of Central and Ring Projection (CCRP), is proposed to extract features with rotation invariant property. It reduces the dimensionality of a two-dimensional pattern by performing both central projection (CP) and ring projection (RP). A dissimilarity function is developed and used to distinguish different patterns. This function makes use of both similarity corrections of RP and CP. Information along both circles and polar angles can be retained from the original pattern. Some experiments have been conducted, in which a set of ambiguous printed Chinese characters which are partially damaged or polluted by noise were classified. The experiments have satisfying results. |
| Starting Page | 200 |
| Ending Page | 204 |
| File Size | 255091 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424437283 |
| DOI | 10.1109/ICWAPR.2009.5207479 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-07-12 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Pollution Feature extraction Wavelet analysis Rotation invariant Pattern recognition Data mining Character recognition Optical noise Optical character recognition software Pattern analysis Composite of central and ring projection Information analysis |
| Content Type | Text |
| Resource Type | Article |
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