IBG was awarded a Phase I Small Business Innovation Research from the Department of Homeland Security in May 2010.

IBG’s R&D effort, Differential Synthetic Biometric Sample and Template Generation, examines fundamental influencing factors in synthetic image generation, develops a framework for assessment of the utility of synthetic biometric image data, and supports development of a prototype tool to create large-scale synthetic biometric datasets (fingerprint, iris, and face) that emulate statistical and performance attributes of real-world data.

IBG’s research is based on a real-world experience in the design and implementation of large-scale systems in which multiple biometric samples are leveraged to comprise a representative template. The use of multiple samples (intra-position and inter-position) is an important design constraint for synthetic biometric, as it bounds “genuine” creation logic. The DHS SBIR leverages ongoing IBG research into creating and manipulating synthetic fingerprint images that manipulate the behavior of fingerprint matching algorithms.