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http://dx.doi.org/10.5573/IEIESPC.2016.5.1.43

Plain Fingerprint Classification Based on a Core Stochastic Algorithm  

Baek, Young-Hyun (Research Institute, UnionCommunity Co., Ltd.)
Kim, Byunggeun (Research Institute, UnionCommunity Co., Ltd.)
Publication Information
IEIE Transactions on Smart Processing and Computing / v.5, no.1, 2016 , pp. 43-48 More about this Journal
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;
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