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dc.contributor.author Brown, Dane
dc.contributor.author Bradshaw, K
dc.date.accessioned 2017-06-07T08:02:39Z
dc.date.available 2017-06-07T08:02:39Z
dc.date.issued 2016-05
dc.identifier.citation Brown, D. and Bradshaw, K. 2016. Improved fingercode alignment for accurate and compact fingerprint recognition. 2016 IEEE Symposium on Technologies for Homeland Security (HST), 11 May 2016, Waltham, USA. DOI: 10.1109/THS.2016.7568931 en_US
dc.identifier.isbn 978-1-5090-0770-7
dc.identifier.uri http://www.cs.uwc.ac.za/~dbrown/3.pdf
dc.identifier.uri http://ieeexplore.ieee.org/document/7568931/
dc.identifier.uri DOI: 10.1109/THS.2016.7568931
dc.identifier.uri http://hdl.handle.net/10204/9239
dc.description Copyright: 2016 IEEE. Due to copyright restrictions, the attached PDF file contains the accepted version of the full text item. For access to the published version, please consult the publisher's website. en_US
dc.description.abstract The traditional texture-based fingerprint recognition system known as FingerCode is improved in this work. Texture-based fingerprint recognition methods are generally more accurate than other methods, but at the disadvantage of increased storage requirements. The low storage requirements for a low resolution texture-based fingerprint recognition method known as FingerCode enables the combined use of fingerprints with the additional security of other devices such as smartcards. The low recognition accuracy of FingerCode is addressed using a novel texture alignment technique. As a result, an improved recognition accuracy is achieved without increasing storage requirements en_US
dc.language.iso en en_US
dc.publisher IEEE en_US
dc.relation.ispartofseries Worklist;17650
dc.subject Feature extraction en_US
dc.subject Fingerprint recognition en_US
dc.subject Reliability en_US
dc.subject Indexes en_US
dc.subject Security en_US
dc.title Improved fingercode alignment for accurate and compact fingerprint recognition en_US
dc.type Presentation en_US


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