An ultra-low memory fingerprint matching algorithm and its implementation on a 32-bit smart card

  • Authors:
  • Sung Bum Pan;Daesung Moon;Younhee Gil;Dosung Ahn;Yongwha Chung

  • Affiliations:
  • Biometrics Technol. Res. Team, ETRI, Daejeon, South Korea;-;-;-;-

  • Venue:
  • IEEE Transactions on Consumer Electronics
  • Year:
  • 2003

Quantified Score

Hi-index 0.43

Visualization

Abstract

We propose an ultra-low memory fingerprint matching algorithm and implement it on a 32-bit smart card. We first evaluated both the number of instructions executed and memory requirement of each step of a typical fingerprint matching algorithm. Then, we developed a memory-efficient algorithm for the most memory-consuming step (alignment) by doing more computations under the restriction of the real-time requirement. Our experimental results show that the proposed algorithm can reduce the required memory space by a factor of 62 and can be executed in real-time on a 32-bit smart card.