2018 IEEE Second International Conference on Data Stream Mining &Amp; Processing (DSMP) 2018
DOI: 10.1109/dsmp.2018.8478496
|View full text |Cite
|
Sign up to set email alerts
|

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.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2019
2019
2023
2023

Publication Types

Select...
3
2
1

Relationship

1
5

Authors

Journals

citations
Cited by 7 publications
(1 citation statement)
references
References 33 publications
0
1
0
Order By: Relevance
“…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%