Abrishambaf, Reza and Demirel, Hasan and Kale, Izzet (2008) A fully CNN based fingerprint recognition system. In: IEEE 11th Cellular Neural Networks and Their Applications (CNNA 2008). IEEE, pp. 146-149. ISBN 9781424420896
Official URL: http://dx.doi.org/10.1109/CNNA.2008.4588667
In this paper, a fully cellular neural networks (CNN) based fingerprint recognition system is introduced. The system includes a preprocessing phase where the input fingerprint image is enhanced and a recognition phase where the enhanced fingerprint image is matched with the fingerprints in the database. Both preprocessing and recognition phases are realized by means of CNN approaches. A novel application of skeletonization method is used to perform ridgeline thinning which improves the quality of the extracted lines for further processing, and hence increases the overall system performance.
|Item Type:||Book Section|
|Research Community:||University of Westminster > Electronics and Computer Science, School of|
|Deposited On:||28 Jan 2010 18:28|
|Last Modified:||12 Aug 2010 10:09|
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