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Journal Article An ultra-low memory fingerprint matching algorithm and its implementation on a 32-bit smart card
Cited 30 time in scopus Share share facebook twitter linkedin kakaostory
Authors
Sung Bum Pan, Daesung Moon, Younhee Gil, Dosung Ahn, Yongwha Chung
Issue Date
2003-05
Citation
IEEE Transactions on Consumer Electronics, v.49, no.2, pp.453-459
ISSN
0098-3063
Publisher
IEEE
Language
English
Type
Journal Article
DOI
https://dx.doi.org/10.1109/TCE.2003.1209540
Abstract
In this paper, 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.
KSP Keywords
Efficient algorithms, Fingerprint matching algorithm, Memory space, Real-time requirements, Smart Card, memory-efficient