Impact of variations in synthetic training data on fingerprint classification

The following topics are dealt with: biometrics (access control); learning (artificial intelligence); feature extraction; fingerprint identification; face recognition; image classification; image matching; medical image processing; cryptography; neural nets.

Saved in:
Bibliographic Details
Published inGI-Edition. Proceedings pp. 1 - 4
Main Authors Irtem, Pelin, Irtem, Emre, Erdogmus, Nesli
Format Conference Proceeding
LanguageEnglish
Published Gesellschaft fuer Informatik 01.09.2019
Subjects
Deep learning
fingerprint classification
Fingerprint recognition
Labeling
Neural networks
NIST
synthetic ground truth
Training
Training data
Online AccessGet full text
ISSN1617-5468

Cover

More Information
Summary:The following topics are dealt with: biometrics (access control); learning (artificial intelligence); feature extraction; fingerprint identification; face recognition; image classification; image matching; medical image processing; cryptography; neural nets.
ISSN:1617-5468