Fingerprint Identification Scheme Based on Distribution Density

Bin Bin Wang; Jian De Zheng; Zhi Qiang Zheng

doi:10.4028/www.scientific.net/AMM.539.117

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 539Fingerprint Identification Scheme Based on...

Fingerprint Identification Scheme Based on Distribution Density

Abstract:

Traditional fingerprint identification is adopting minutiae point as a template, but this exist template leaked danger. Based on the distribution density of minutiae point, this paper deeply researches on how to use the distribution density of minutiae point as the template of fingerprints, avoiding directly storing minutiae point data, and ensuring the safety of fingerprint template. At the same time, we proposed a fingerprint matching algorithm based on this template. The experimental results show that the matching algorithm is an effective identification scheme.

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Periodical:

Applied Mechanics and Materials (Volume 539)

Pages:

117-121

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.539.117

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Online since:

July 2014

Authors:

Bin Bin Wang, Jian De Zheng, Zhi Qiang Zheng

Keywords:

Fingerprint Matching, Genetic Algorithm (GA), Minutiae Point Matching

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References

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