With the increase in tattoos over the past few decades, the biometrics team at MITRE is interested in developing reference software for tattoo recognition and methods for objective performance evaluation. The 2013-2014 clinic team has developed a flexible, simple, and efficient framework for tattoo-matching that uses a variety of computer vision algorithms. This framework enables quick exploration by comparing the relative accuracy of individual algorithms and their combination, and tuning and optimizing the parameters of individual algorithms against representative datasets.