By Topic

Chinese Coin Recognition Based on Unwrapped Image and Rotation Invariant Template Matching

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

1 Author(s)
Huahua Chen ; Coll. of Commun. Eng., Hangzhou Dianzi Univ., Hangzhou, China

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.

Published in:

Intelligent Networks and Intelligent Systems (ICINIS), 2010 3rd International Conference on

Date of Conference:

1-3 Nov. 2010