2018 IEEE Second International Conference on Data Stream Mining &Amp; Processing (DSMP) 2018
DOI: 10.1109/dsmp.2018.8478496
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Mathematical Model for the Probabilistic Minutia Distribution in Biometric Fingerprint Images

Abstract: The research involves development of a mathematical model for the probabilistic minutia distribution in biometric fingerprint images. The suggested model is based on heuristic analysis of the fingerprint scanning results with account for the nature of the potential errors.

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Cited by 7 publications
(1 citation statement)
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References 33 publications
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“…The stream encryption of a long sequence has the most significant potential advantage over block cryptographic transformations [3,6,[19][20][21][22][23][24], which is essential for many applications [25][26][27][28][29][30][31][32][33][34][35][36][37].…”
Section: Performance Evaluationmentioning
confidence: 99%
“…The stream encryption of a long sequence has the most significant potential advantage over block cryptographic transformations [3,6,[19][20][21][22][23][24], which is essential for many applications [25][26][27][28][29][30][31][32][33][34][35][36][37].…”
Section: Performance Evaluationmentioning
confidence: 99%