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Plain Fingerprint Classification Based on a Core Stochastic Algorithm
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 Title & Authors
Plain Fingerprint Classification Based on a Core Stochastic Algorithm
Baek, Young-Hyun; Kim, Byunggeun;
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 Abstract
We propose plain fingerprint classification based on a core stochastic algorithm that effectively uses a core stochastic model, acquiring more fingerprint minutiae and direction, in order to increase matching performance. The proposed core stochastic algorithm uses core presence/absence and contains a ridge direction and distribution map. Simulations show that the fingerprint classification accuracy is improved by more than 14%, on average, compared to other algorithms.
 Keywords
Fingerprint core;Classification;Ridge direction;Stochastic model;Distribution map;
 Language
English
 Cited by
 References
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