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Biometric Quality: The Last 1%: Biometric Quality Assessment for Error Suppression
Language: English
Published by CreateSpace Independent Publishing Platform, 2008
ISBN 10: 1495984508 ISBN 13: 9781495984501
Condition: New.
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Condition: New. 2024th edition NO-PA16APR2015-KAP.
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Condition: New. pp. 129.
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Biometric Quality (Paperback)
Language: English
Published by Createspace Independent Publishing Platform, 2008
ISBN 10: 1495984508 ISBN 13: 9781495984501
Paperback. Condition: new. Paperback. Performance of biometric recognition systems degrades substantially as quality of the input samples drops. Although only a small fraction of input data are of poor-quality, the bulk of recognition errors can be attributed to poor-quality samples. If quality can be improved, either by sensor design, by user interface design, or by standards compliance, better performance can be realized. For those aspects of quality that cannot be designed-in, an ability to analyze the quality of a live sample is needed. This is useful primarily in initiating the reacquisition from a user, but also for the real-time selection of the best sample, the selective invocation of different processing methods, or fusion. Accordingly, biometric quality measurement algorithms are increasingly deployed in operational systems, US-VISIT, PIV, and EU VIS each mandate the measurement and reporting of quality scores of captured images. With the increase in deployment of quality algorithms, the need to standardize an interoperable way to store and exchange biometric quality scores, and methods for evaluation the effectiveness of quality algorithms increases. This document describes NIST's activities on biometric sample quality research and standardization. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Condition: New. Print on Demand pp. 129.
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Condition: New. PRINT ON DEMAND pp. 129.
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Explainable and Interpretable Reinforcement Learning for Robotics
Language: English
Published by Springer International Publishing, 2024
ISBN 10: 3031475178 ISBN 13: 9783031475177
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides readers with a categorization system to discuss explainable and interpretable RL techniquesExplores RL methodology specific to robotics applicationsExplains how interpretable RL algorithms can enhance trust, increase adoption, redu.
