Fingerprint Verification System Involving Smart Card

Efficient and Secure Fingerprint Verification for Embedded Devices

“…In order to speed up the fingerprint image processing, a set of software and hardware optimizations methods are applied, gaining a 65% execution time reduction with less than half the energy consumption. A memory analysis method is 1 In the simulation of our database, there is no false accept error. introduced to trace the program memory usage during run time.…”

“…By selecting this local structure, we achieve an FRR of 1% and an FAR of less than 0.1%. 1 Also we compared the template size of our matching algorithm with others. For a typical case, 0 ≤ d i ≤ 256, 0 ≤ ϕ i , θ i , Ψ ≤ 32, the average template size for our algorithm is around 0.5 kbytes, which is comparable to the template size in the light category of FVC2004 [21].…”

“…In this case, the safety of the precious biometric information cannot be guaranteed because attacks might occur during the transmission or on the server. Some embedded fingerprint verification systems try to decentralize the storage of the information by storing the fingerprint template into a device such as a smart card [1]. Although this provides higher security for the fingerprint matching process as well as the template storage, the minutiae extraction process still runs outside on the card reader and the transmission of the input fingerprint information still can lead to the disclosure of the important biometric data.…”

A realtime, memory efficient fingerprint verification system

“…In this case the safety of the precious biometric information cannot be guaranteed because attacks might occur during the transmission or on the server. Some embedded systems implement the complex signal preprocessing step on a powerful card reader, and only the matching step is executed on the embedded device [1]. This design still cannot prevent the critical fingerprint leakage since it requires the transmission of raw fingerprint image as well as the template.…”