This site collects articles about the internal processes of AmphIdent and algorithms for pattern matching in wildlife in general. The articles range from general steps and methods for preprocessing images for photo-matching, technical details on the pattern extraction and individual identification, to the description of improvements on the user interface.
Generating artificial spot patterns to analyze the matching performance of algorithms for image recognition of wildlife can be a viable alternative to relying on huge databases of real patterns with known ground truth. In this article we improve the ability of Markov chain based methods for generating artificial spot patterns …