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Implementation and ...
Implementation and evaluation of NIST Biometric Image Software for fingerprint recognition
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- Maddala, Sainath (författare)
- Blekinge Tekniska Högskola,Avdelningen för signalbehandling
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- Tangellapally, Sreekanth Rao (författare)
- Blekinge Tekniska Högskola,Avdelningen för signalbehandling
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- Bartunek, Josef Ström (författare)
- Blekinge Tekniska Högskola,Avdelningen för signalbehandling
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- Nilsson, Mikael (författare)
- Blekinge Tekniska Högskola,Avdelningen för signalbehandling
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(creator_code:org_t)
- ISBN 9781424482122
- Vitoria : IEEE, 2011
- 2011
- Engelska.
- Relaterad länk:
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https://bth.diva-por... (primary) (Raw object)
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- Fingerprints are rich in details which are in the form of discontinuities in ridges known as minutiae and are unique for each person. This paper describes implementation and evaluation of an existing fingerprint recognition system in MATLAB environment. The selected system is developed by National Institute of Standards and Technology (NIST) denoted as Biometric Image Software (NBIS). The NBIS source code is written in ANSI C programming language. To be able to evaluate the algorithm in MATLAB a C language MEX-files has been used. The NBIS support both minutiae extraction and minutiae matching functions that have been employed in the evaluation. The implemented system has been tested on a Fingerprint Verification Competition (FVC) database. The results are presented as Receiver Operating Characteristics (ROC) graphs.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Signalbehandling (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Signal Processing (hsv//eng)
Nyckelord
- Biometric
- MEX-file
- NIST Fingerprint Verification
- ROC graphs
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)
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