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A Fingerprint Matching Model using Unsupervised Learning Approach
Nasser Abouzakhar
, Muhammed Bello Abdulazeez
Research output
:
Chapter in Book/Report/Conference proceeding
›
Conference contribution
189
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Dive into the research topics of 'A Fingerprint Matching Model using Unsupervised Learning Approach'. Together they form a unique fingerprint.
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Keyphrases
Airport
25%
Authentication Mechanism
50%
Biometric-based
25%
Biometrics
100%
Chebyshev Distance
25%
Cosine Similarity Measure
25%
Critical Missions
50%
Cybercrime
25%
Distance Measure
50%
Evidence Gathering
25%
Explosives
25%
Financial Institutions
25%
Fingerprint Biometrics
25%
Fingerprint Matching
100%
Forensic Expert
50%
Freely Available
25%
Identification Mechanism
25%
IT Technologies
25%
IT Use
25%
Legitimate User
25%
Malicious Users
25%
Managing Information
25%
Manhattan Distance Metric
25%
Matching Algorithm
25%
Matching Factor
50%
Matching Model
100%
Mission-critical Systems
25%
Network Technology
25%
Private Information
25%
Remote Access
25%
Resource Access
25%
Security Threats
25%
Security Violation
25%
Similarity Measure
75%
Solution Model
25%
Statistical Methods
25%
Takeovers
25%
Unsupervised Learning Techniques
100%
User Authentication
25%
World Wide Web
50%
Computer Science
Authentication
33%
Authentication Mechanism
16%
Biometrics
100%
Chebyshev Distance
16%
Cosine Similarity
16%
Cybercrime
16%
Distance Measure
33%
Evidence Gathering
16%
Information Network
16%
Information System
16%
Learning Approach
100%
Legitimate User
16%
Managing Information
16%
Manhattan Distance
16%
Matching Algorithm
16%
Matching Model
100%
Network Technology
16%
Unsupervised Learning
100%
User Authentication
16%