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2010 Third International Conference on Intelligent Networks and Intelligent Systems
Chinese Coin Recognition Based on Unwrapped Image and Rotation Invariant Template Matching
Shenyang, Liaoning China
November 01-November 03
ISBN: 978-0-7695-4249-2
| ASCII Text | x | ||
| Huahua Chen, "Chinese Coin Recognition Based on Unwrapped Image and Rotation Invariant Template Matching," Intelligent Networks and Intelligent Systems, International Workshop on, pp. 5-7, 2010 Third International Conference on Intelligent Networks and Intelligent Systems, 2010. | |||
| BibTex | x | ||
| @article{ 10.1109/ICINIS.2010.10, author = {Huahua Chen}, title = {Chinese Coin Recognition Based on Unwrapped Image and Rotation Invariant Template Matching}, journal ={Intelligent Networks and Intelligent Systems, International Workshop on}, volume = {0}, year = {2010}, isbn = {978-0-7695-4249-2}, pages = {5-7}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICINIS.2010.10}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - CONF JO - Intelligent Networks and Intelligent Systems, International Workshop on TI - Chinese Coin Recognition Based on Unwrapped Image and Rotation Invariant Template Matching SN - 978-0-7695-4249-2 SP5 EP7 A1 - Huahua Chen, PY - 2010 KW - Chinese coin recognition KW - unwrapped image KW - template matching VL - 0 JA - Intelligent Networks and Intelligent Systems, International Workshop on ER - | |||
This paper proposes a Chinese coin recognition method based on unwrapped image and rotation invariant template matching. At first unwrap the reference coin and the specimen coin, which makes a rotation of the coins convert to a translation of the profile. Then lengthened the unwrapped specimen coin image and the unwrapped reference coin image always lies in the unwrapped specimen if they are the same class. Template matching is carried out for every allowed position of the template in the specimen image. Residual coins, which can not be differentiated by template matching directly, are refined by local template matching, YCbCr and inclination detection of two close line segments. The method was implemented to identify the Chinese coins and results were encouraging.
Index Terms:
Chinese coin recognition, unwrapped image, template matching
Citation:
Huahua Chen, "Chinese Coin Recognition Based on Unwrapped Image and Rotation Invariant Template Matching," icinis, pp.5-7, 2010 Third International Conference on Intelligent Networks and Intelligent Systems, 2010
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