Fingerprint classification based on analysis of singularities and image quality
One of the open issues in fingerprint classification is the lack of robustness when dealing with image-quality degradation. Poor-quality images effect on spurious and missing important features for classification, thus degrading the overall performance for distinguish fingerprint classes. In this wo...
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my.utm.145432017-08-10T06:58:19Z http://eprints.utm.my/id/eprint/14543/ Fingerprint classification based on analysis of singularities and image quality Ahmad, Fadzilah Mohamad, Dzulkifli QA75 Electronic computers. Computer science T Technology (General) One of the open issues in fingerprint classification is the lack of robustness when dealing with image-quality degradation. Poor-quality images effect on spurious and missing important features for classification, thus degrading the overall performance for distinguish fingerprint classes. In this work, we review existing approaches that have been applied in fingerprint classification which concerning on image quality problems. We have also presents an approach for classifying a fingerprint by analysis of singularities features and improvement on image quality. The main objective of this study is to provide the reader with some insights into the strength and importance of the quality images for fingerprint classification system. In particular, it discusses the fingerprint singularities features that are useful for distinguishing fingerprint classes and reviews the methods of classification that have been applied based on these features. Springer 2009 Book Section PeerReviewed Ahmad, Fadzilah and Mohamad, Dzulkifli (2009) Fingerprint classification based on analysis of singularities and image quality. In: Visual Informatics: Bridging Research and Practice. Springer, Berlin/ Heidelberg, pp. 551-560. ISBN 978-3-642-05035-0 |
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QA75 Electronic computers. Computer science T Technology (General) Ahmad, Fadzilah Mohamad, Dzulkifli Fingerprint classification based on analysis of singularities and image quality |
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One of the open issues in fingerprint classification is the lack of robustness when dealing with image-quality degradation. Poor-quality images effect on spurious and missing important features for classification, thus degrading the overall performance for distinguish fingerprint classes. In this work, we review existing approaches that have been applied in fingerprint classification which concerning on image quality problems. We have also presents an approach for classifying a fingerprint by analysis of singularities features and improvement on image quality. The main objective of this study is to provide the reader with some insights into the strength and importance of the quality images for fingerprint classification system. In particular, it discusses the fingerprint singularities features that are useful for distinguishing fingerprint classes and reviews the methods of classification that have been applied based on these features. |
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Ahmad, Fadzilah Mohamad, Dzulkifli |
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Ahmad, Fadzilah Mohamad, Dzulkifli |
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Ahmad, Fadzilah |
title |
Fingerprint classification based on analysis of singularities and image quality |
title_short |
Fingerprint classification based on analysis of singularities and image quality |
title_full |
Fingerprint classification based on analysis of singularities and image quality |
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Fingerprint classification based on analysis of singularities and image quality |
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Fingerprint classification based on analysis of singularities and image quality |
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fingerprint classification based on analysis of singularities and image quality |
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2009 |
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http://eprints.utm.my/id/eprint/14543/ |
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