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Tattoos can provide useful information related to criminal gang activity. Law enforcement can use the information embedded in tattoos to identify and track the criminal history of a suspect. For matching processes, tattoo images are difficult to use due to problems such as deformations and weak edge structures. In this paper we describe a tattoo image(More)
In this paper we introduce two different automatic tattoo localization methods. The first one is a center-surround feature localization method. It combines a center-surround filter with skin and edge features based on the observation that the skin area surrounding the tattoo is homogeneously smooth and skin-colored. The second method is a graph-cut tattoo(More)
In this paper we present our submission to the NIST Tattoo Recognition Technology - Challenge (Tatt-C) that was held in early 2015. The goal of our work is to match a subregion of an tattoo image to another image. We introduce an image descriptor that combines SIFT (Scale Invariant Feature Transformation) and LSS (local self similarity). The SIFT descriptor(More)
In this paper we introduce a shape descriptor known as Self Similar Affine Invariant (SSAI) descriptor for shape retrieval. The SSAI descriptor is based on the property that two sets of points are transformed by an affine transform, then subsets of each set of points are also related by the same affine transformation. Also, the SSAI descriptor is(More)
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