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- W2034258650 abstract "In fingerprint verification or identification systems, most minutiae-based matching algorithms suffered from theproblems of non-linear distortion and missing or faking minutiae. Local structures such as triangle or k-nearest structureare widely used to reduce the impact of non-linear distortion, but are suffered from missing and faking minutiae. In ourproposed method, star structure is used to present local structure. A star structure contains various number of minutiae,thus, it is more robust with missing and faking minutiae.Our method consists of four steps: 1) Constructing star structures at minutia level; 2) Computing similarity score for eachstructure pair, and eliminating impostor matched pairs which have the low scores. As it is generally assumed that there isonly linear distortion in local area, the similarity is defined by rotation and shifting. 3) Voting for remained matchedpairs according to the compatibility between them, and eliminating impostor matched pairs which gain few votes. Theconcept of compatibility is first introduced by Yansong Feng [4], the original definition is only based on triangles. Wedefine the compatibility for star structures to adjust to our proposed algorithm. 4) Computing the matching score, basedon the number of matched structures and their voting scores. The score also reflects the fact that, it should get higherscore if minutiae match in more intensive areas. Experiments evaluated on FVC 2004 show both effectiveness andefficiency of our methods." @default.
- W2034258650 created "2016-06-24" @default.
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- W2034258650 date "2009-10-30" @default.
- W2034258650 modified "2023-10-18" @default.
- W2034258650 title "A robust fingerprint matching algorithm based on compatibility of star structures" @default.
- W2034258650 cites W1553162758 @default.
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- W2034258650 doi "https://doi.org/10.1117/12.832357" @default.
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