Coin recognition based on geometric features Geometrik Öznitelik Tabanli Madeni Para Tanima

Benligiray B., Cakir H. I., Topal C., AKINLAR C.

2015 23rd Signal Processing and Communications Applications Conference, SIU 2015, Malatya, Turkey, 16 - 19 May 2015, pp.1341 identifier

  • Publication Type: Conference Paper / Full Text
  • Doi Number: 10.1109/siu.2015.7130088
  • City: Malatya
  • Country: Turkey
  • Page Numbers: pp.1341
  • Keywords: bilateral filtering, camera calibration, circle detection, coin detection, pose estimation
  • Istanbul Technical University Affiliated: Yes


In this study, it is aimed to count the total amount in an image of coins using machine vision methods. The extrinsic parameters of the camera whose intrinsic parameters are already known are estimated relative to the plane on which the coins lie. Textural details are removed from the image using bilateral filtering and circles are detected. Reciprocal points from the detected circles are back projected using the estimated pose. By calculating the metric diameters of the detected coins, the coins are recognized and counted.