Toggle Main Menu Toggle Search

Open Access padlockePrints

The Newcastle University research output collection, currently available on ePrints, will shortly be moving to a new open repository platform, Figshare. To prepare for the data migration we have paused adding new content to ePrints, and will resume once the new repository is launched. During this time you will continue to have access to ePrints (but no new content will appear). We will share updates here when available.

Efficient fingerprint feature extraction: Algorithm and performance evaluation

Lookup NU author(s): Lloyd Palmer, Mokhled Al-Tarawneh, Emeritus Professor Satnam Dlay, Dr Wai Lok Woo

Downloads

Full text for this publication is not currently held within this repository. Alternative links are provided below where available.


Abstract

This paper summarises a simple procedure for extracting fingerprint minutiae from a digital greyscale image. Many approaches were studied and the best selected and implemented. A sequential binarisation approach was chosen implementing Otsu's method for binarisation, a parallel thinning algorithm and then a crossing number approach for the minutiae extraction steps. The algorithm was implemented in a Matlab environment using images from the FVC2004 database. In order to show the performance of this algorithm results are presented and compared to another similar algorithm found in literature. © 2008 IEEE.


Publication metadata

Author(s): Palmer LR, Al-Tarawneh MS, Dlay SS, Woo WL

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: 6th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP 2008)

Year of Conference: 2008

Pages: 581-584

Publisher: IEEE

URL: http://dx.doi.org/10.1109/CSNDSP.2008.4610735

DOI: 10.1109/CSNDSP.2008.4610735

Library holdings: Search Newcastle University Library for this item

ISBN: 9781424418756


Share