Coin Data Acquisition for Image Recognition

نویسندگان

  • Sebastian ZAMBANINI
  • Martin KAMPEL
چکیده

Fundamental part of a numismatist’s work is the classifi cation of coins according to standard reference books. For this application, image processing techniques like Image Enhancement, Image Segmentation and Optical Character Recognition (OCR) are investigated. The recently started European project COINS combines these two research areas by developing a vision based system for automated coin recognition. Digital image acquisition of coins is the fi rst step in the processing pipeline: when making a digital photo of a coin, the setup of the image acquisition system determines the quality of the image. If images of coins are processed by image recognition methods, the accuracy of the results is highly related to image quality. This paper is intended as a technical guide for an optimal acquisition of ancient coins. For that purpose, it provides an explanation of basic principles of digital photography and describes an adequate acquisition setup with respect to numismatists’ needs.

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تاریخ انتشار 2010