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Fingerprints are rich in details which are in the form of discontinuities in ridges known as minutiae. The main purpose of this book is to implement and evaluate National Institute of Standards and Technology (NIST) Biometric Image Software (NBIS) for fingerprint recognition using the system developed in Matlab environment. This is performed by using C- language MEX-files which enables to run original C- language code without reimplementing it as Matlab script. A function is developed with NBIS which helps to extract minutiae from grayscale fingerprint image and match two minutiae patterns to produce a match score. In this work 60 unique users with 8 fingerprints per user i.e., 480 fingerprints had been used for evaluating the system. Scores obtained from minutia matcher after comparing with genuine and imposter matching had been plotted using Receiver Operating Characteristic (ROC) graphs. Finally the performance of the system is evaluated by analyzing plotted ROC graphs. The results obtained by using this functionality can be used for comparing the results obtained with other techniques for measuring the system performance using ROC graphs.
Biografía del autor
Sainath Maddala received his Master's in 2010 from Blekinge Tekniska Högskola, Sweden in Electrical Engineering and Bachelors in 2007 from JNTUH, India in ECE. He has received academic awards and publications in reputable IEEE Conferences. His research intrests are in Image processing, Bio-medical signal processing and Communication areas.
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- VerlagVDM Verlag
- Erscheinungsdatum2010
- ISBN 10 3639318072
- ISBN 13 9783639318074
- EinbandTapa blanda
- Anzahl der Seiten68
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Fingerprints are rich in details which are in the form of discontinuities in ridges known as minutiae. The main purpose of this book is to implement and evaluate National Institute of Standards and Technology (NIST) Biometric Image Software (NBIS) for fingerprint recognition using the system developed in Matlab environment. This is performed by using C- language MEX-files which enables to run original C- language code without reimplementing it as Matlab script. A function is developed with NBIS which helps to extract minutiae from grayscale fingerprint image and match two minutiae patterns to produce a match score. In this work 60 unique users with 8 fingerprints per user i.e., 480 fingerprints had been used for evaluating the system. Scores obtained from minutia matcher after comparing with genuine and imposter matching had been plotted using Receiver Operating Characteristic (ROC) graphs. Finally the performance of the system is evaluated by analyzing plotted ROC graphs. The results obtained by using this functionality can be used for comparing the results obtained with other techniques for measuring the system performance using ROC graphs. 68 pp. Englisch. Bestandsnummer des Verkäufers 9783639318074
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Biometric Fingerprint Recognition : Fingerprint Recognition using C-language MEX-Files
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Fingerprints are rich in details which are in the form of discontinuities in ridges known as minutiae. The main purpose of this book is to implement and evaluate National Institute of Standards and Technology (NIST) Biometric Image Software (NBIS) for fingerprint recognition using the system developed in Matlab environment. This is performed by using C- language MEX-files which enables to run original C- language code without reimplementing it as Matlab script. A function is developed with NBIS which helps to extract minutiae from grayscale fingerprint image and match two minutiae patterns to produce a match score. In this work 60 unique users with 8 fingerprints per user i.e., 480 fingerprints had been used for evaluating the system. Scores obtained from minutia matcher after comparing with genuine and imposter matching had been plotted using Receiver Operating Characteristic (ROC) graphs. Finally the performance of the system is evaluated by analyzing plotted ROC graphs. The results obtained by using this functionality can be used for comparing the results obtained with other techniques for measuring the system performance using ROC graphs. Bestandsnummer des Verkäufers 9783639318074
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Biometric Fingerprint Recognition
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VDM Verlag Dr. Müller, 2010
ISBN 10: 3639318072
ISBN 13: 9783639318074
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Kartoniert / Broschiert. Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Maddala SainathSainath Maddala received his Master s in 2010 from Blekinge Tekniska Hoegskola, Sweden in Electrical Engineering and Bachelors in 2007 from JNTUH, India in ECE. He has received academic awards and publications in re. Bestandsnummer des Verkäufers 4977107
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