Interface Homme-Machine pour l'Identification des Liaisons de Coins
Patrice Labedan, Nicolas Drougard

TL;DR
ACCADIL is a software tool that uses computer vision and classification to identify coin die links from photographs, aiding numismatists in analyzing coin collections interactively.
Contribution
The paper introduces a novel software platform combining algorithms and an interactive interface for coin die link identification from images.
Findings
Effective computer vision algorithm for coin link detection
User-friendly online interface with multiple visualization modes
Supports comprehensive analysis of coin collections
Abstract
ACCADIL is a project that led to the development of software tools for the identification of coin die links from coin photographs. It provides a computational algorithm based on computer vision and classification techniques, along with an online interface for the interactive verification of results. This guide briefly describes the algorithmic principles, the preparation of data prior to analysis, and the features offered by the interface: dataset addition, visualization modes (overlay, side-by-side, magnifier, transparency), result export, and distance visualization. ACCADIL thus provides numismatists with a comprehensive tool for the analysis of die links within a coin collection.
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Taxonomy
TopicsCurrency Recognition and Detection · Image Processing and 3D Reconstruction · Cold Fusion and Nuclear Reactions
