Trying to remember dozens of personal identification numbers (PIN), passwords, and credit card numbers may soon be unnecessary, thanks to Ioannis Kakadiaris, UH’s Eckhard Pfeiffer Professor of Computer Science. He has developed the URxD facial recognition software that uses a three-dimensional snapshot of a person’s face to create a unique identifier, or biometric. Shown in government testing to be tops in its field, URxD can be used for everything from gaining access to secure facilities to authorizing credit card purchases. It can recognize and filter out facial hair, sunglasses, and makeup to accurately recreate the topography of a person’s face and match it to a previously taken picture in the database. Kakadiaris and his team are hoping for corporate interest in bringing the technology, now at the advanced prototype stage, to the marketplace.