Noise models in artificial biometric images

Authors: Rychkov A.S.
Published in issue: #1(30)/2019
DOI: 10.18698/2541-8009-2019-1-425
Category: Informatics, Computer Engineering and Control | Chapter: Methods and Systems of Information Protection, Information Security
Keywords: digital image, noise model, digital image noise, biometric data, recognition, biometric image, fingerprint, synthesis of biometric images
Published: 16.01.2019

Nowadays it is actively used biometric data for confirming identity. In connection with this fact, it has become necessary to test a variety of recognition algorithms. This required a large database created by special programs (for example, SFinGe for the synthesis of fingerprints). It is researched noise models which are arisied in a digital image (Gaussian noise, Rayleigh noise, Erlang noise, exponential, uniform, impulse noise). It is given the examples of physical phenomena that can be described using the presented noise model. Natural and synthesized biometric images with various noises on them are shown for comparison.

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