Forensic Camera Model Identification

Abstract

This chapter presents an overview of the state of the art of technical means to achieve camera model identification. It starts with an introduction to forensic source identification. The chapter deals with a specific case of digital camera model identification. It comments on suitable image datasets for setting up practical algorithms, the foundations, and focuses on problems that arise in identification scenarios with unknown camera models. The chapter explains the connections between camera model identification and device identification. It talks about the open set camera model identification that poses an inherent challenge to the widely used multi-class support vector machines (SVMs), as they always assign a test sample to one of the trained classes. The role of model-specific characteristics in device-level identification is discussed. As forensic camera model identification finds applications in practical investigations, a more explicit treatment of the different types of artifact interdependencies will gain more relevance.