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- W2274500697 abstract "The voluminous biometric databases make it computationallydifficult to match a query against each enrolledimage in the database as is required in identification. To makethe process efficient, various indexing techniques have beendeveloped. We propose a novel fingerprint indexing schemeusing dynamic clustering and m-ary trees in this paper. Weconstruct a triangle spiral for each fingerprint image fromwhich we obtain O(n) triangles unlike many other indexingapproaches. These triangles are used to extract robust translationand rotation invariant features. Experiments with thebenchmark databases confirm the superiority of our approachto the other existing techniques." @default.
- W2274500697 created "2016-06-24" @default.
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- W2274500697 date "2015-11-01" @default.
- W2274500697 modified "2023-09-24" @default.
- W2274500697 title "Clustering Based Fingerprint Indexing Using Triangle Spiral" @default.
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- W2274500697 doi "https://doi.org/10.1109/sitis.2015.12" @default.
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