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Over the next few years Biometric databases for the Federal Bureau of Investigations (FBI), Department of State (DoS), Department of Defense (DoD) and the Department of Homeland Security (DHS) are expected to grow to accommodate hundreds of millions, if not billions, of identities. As these biometric systems grow, distributed computing platforms such as Hadoop/MapReduce may be a feasible solution to this potential problem. This presentation outlines the magnitude of the problem, and evaluates algorithms and solutions using Hadoop and MapReduce. Open source biometric algorithms include BOZORTH3 (fingerprint matching) and IrisCode (Iris Scan matching), and how they can be optimized for deployment over Hadoop/MapReduce are also discussed.