A compact and efficient fingerprint verification system for secure embedded devices
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TL;DR
This paper describes an efficient fingerprint verification module, which is part of an embedded device called ThumbPod, which runs on a 50 MHz fixed-point processor and achieves 55.6% and 60.0% execution time reduction for the minutiae extraction and the matching, respectively, compared to a traditional implementation reference.
Abstract
Creating a biometric verification system in a resource-constrained embedded environment is a challenging problem. This paper describes an efficient fingerprint verification module, which is part of an embedded device called ThumbPod. The whole fingerprint verification algorithm runs on a 50 MHz fixed-point processor. As the result of our SW/HW optimizations, we achieve 55.6% and 60.0% execution time reduction for the minutiae extraction and the matching, respectively, compared to a traditional implementation reference. The complete process finishes in less than 5 seconds.