Using the Optical Mouse Sensor as a Two-Euro Counterfeit Coin Detector

In this paper, the sensor of an optical mouse is presented as a counterfeit coin detector applied to the two-Euro case. The detection process is based on the short distance image acquisition capabilities of the optical mouse sensor where partial images of the coin under analysis are compared with some partial reference coin images for matching. Results show that, using only the vision sense, the counterfeit acceptance and rejection rates are very similar to those of a trained user and better than those of an untrained user.

[1]  Umberto Minoni,et al.  Low-cost optical motion sensors: An experimental characterization , 2006 .

[2]  A. Carlosena,et al.  Sensing in Coin Discriminators , 2007, 2007 IEEE Sensors Applications Symposium.

[3]  Abdolah Chalechale.  Coin recognition using image abstraction and spiral decomposition , 2007, 2007 9th International Symposium on Signal Processing and Its Applications.

[4]  Rade S. Popovic,et al.  Metallic profile and coin imaging using an inductive proximity sensor microsystem , 1998 .

[5]  A. Khashman,et al.  Intelligent coin identification system , 2006, 2006 IEEE Conference on Computer Aided Control System Design, 2006 IEEE International Conference on Control Applications, 2006 IEEE International Symposium on Intelligent Control.

[6]  A. Chitra,et al.  A New Approach to Coin Recognition using Neural Pattern Analysis , 2005, 2005 Annual IEEE India Conference - Indicon.

[7]  Jordi Palacín,et al.  The optical mouse for indoor mobile robot odometry measurement , 2006 .

[8]  Reinhold Huber-Mörk,et al.  Classification of coins using an eigenspace approach , 2005, Pattern Recognit. Lett..

[9]  Minoru Fukumi,et al.  Designing a neural network for coin recognition by a genetic algorithm , 1993, Proceedings of 1993 International Conference on Neural Networks (IJCNN-93-Nagoya, Japan).

[10]  Mel Siegel,et al.  Correlation of accelerometer and microphone data in the "coin tap test" , 2000, IEEE Trans. Instrum. Meas..

[11]  T. W. Ng,et al.  The optical mouse as a two-dimensional displacement sensor , 2003 .

[12]  Marcel Tresanchez,et al.  The optical mouse sensor as an incremental rotary encoder , 2009 .

[13]  Qiyin Fang,et al.  CMOS Image Sensors for High Speed Applications , 2009, Sensors.

[14]  Sufen Fong,et al.  MeshEye: A Hybrid-Resolution Smart Camera Mote for Applications in Distributed Intelligent Surveillance , 2007, 2007 6th International Symposium on Information Processing in Sensor Networks.

[15]  Paul Davidsson,et al.  Coin Classification Using a Novel Technique for Learning Characteristic Decision Trees by Controlling the Degree of Generalization , 1996, IEA/AIE.

[16]  Martin Kampel,et al.  Image Based Recognition of Ancient Coins , 2007, CAIP.

[17]  Weiliang Xu,et al.  Visual dead-reckoning for motion control of a Mecanum-wheeled mobile robot , 2004 .