- Title
- Improved fingercode alignment for accurate and compact fingerprint recognition
- Creator
- Brown, Dane L, Bradshaw, Karen L
- Subject
- To be catalogued
- Date
- 2016
- Type
- text
- Type
- article
- Identifier
- http://hdl.handle.net/10962/473807
- Identifier
- vital:77683
- Identifier
- xlink:href="https://ieeexplore.ieee.org/abstract/document/7568931"
- Description
- 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.
- Format
- computer, online resource, application/pdf, 1 online resource (5 pages), pdf
- Publisher
- IEEE Xplore
- Language
- English
- Relation
- IEEE Symposium on Technologies for Homeland Security (HST), Brown, D. and Bradshaw, K., 2016, May. Improved fingercode alignment for accurate and compact fingerprint recognition. In 2016 IEEE Symposium on Technologies for Homeland Security (HST) (pp. 1-6). IEEE, IEEE Symposium on Technologies for Homeland Security (HST) volume 2016 p. 1 2016
- Rights
- Publisher
- Rights
- Use of this resource is governed by the terms and conditions of the IEEE Xplore Terms of Use Statement (https://ieeexplore.ieee.org/Xplorehelp/overview-of-ieee-xplore/terms-of-use)
- Rights
- Closed Access
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