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This paper presents the ILAC project, which aims at the development of an automated image-based classification system for ancient\udRoman Republican coins. The benefits of such a system are manifold: operating at the suture between computer vision and numismatics,\udILAC can reduce the day-to-day workload of numismatists by assisting them in classification tasks and providing a preselection of\udsuitable coin classes. This is especially helpful for large coin hoard findings comprising several thousands of coins. Furthermore, this\udsystem could be implemented in an online platform for hobby numismatists, allowing them to access background information about\udtheir coin collection by simply uploading a photo of obverse and reverse for the coin of interest. ILAC explores different computer\udvision techniques and their combinations for the use of image-based coin recognition. Some of these methods, such as image matching,\uduse the entire coin image in the classification process, while symbol or legend recognition exploit certain characteristics of the coin\udimagery. An overview of the methods explored so far and the respective experiments is given as well as an outlook on the next steps of\udthe project

the international archives of the photogrammetry, remote sensing and spatial information sciences/international archives of the photogrammetry, remote sensing and spatial information sciences

THE ILAC-PROJECT: SUPPORTING ANCIENT COIN CLASSIFICATION BY MEANS OF IMAGE ANALYSIS