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
Reference:
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
Brown, D., & Bradshaw, K. (2016). Improved fingercode alignment for accurate and compact fingerprint recognition. IEEE. http://hdl.handle.net/10204/9239
Brown, Dane, and K Bradshaw. "Improved fingercode alignment for accurate and compact fingerprint recognition." (2016): http://hdl.handle.net/10204/9239
Brown D, Bradshaw K, Improved fingercode alignment for accurate and compact fingerprint recognition; IEEE; 2016. http://hdl.handle.net/10204/9239 .
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.
