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Tattoo Recognition Technology - Best Practices (Tatt–BP) 

Based on the outcomes of the Tatt-C activity, tattoo recognition algorithm accuracy is often influenced by the consistency and quality of the tattoo images. Tatt-BP provides best practice recommendations and guidelines for the proper collection of tattoo images to support image-based tattoo recognition. Tatt-BP materials will be available on the Tatt-BP homepage (coming soon). 



Tattoo Recognition Technology - Challenge (Tatt-C)

Tattoo recognition is a particularly challenging domain as composition and patterns are widely varied being only limited by human creativity and self-expression. Yet, tattoo forensic analysis is very important to applications such as victim identification, crime solving, and gang intelligence gathering. The goal of the Tattoo Recognition Technology – Challenge (Tatt-C) is to advance research and development into automated image-based tattoo recognition technology. The challenge focuses on tattoo matching and retrieval from still images captured operationally by law enforcement agencies. The Tatt-C participation window is now open. For more information, please visit the Tatt-C Homepage.

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