Fingerprint recognition using CNNs: fingerprint preprocessing

descriptionPublicationkeyboard_double_arrow_right Article , Conference object 13 Nov 2002Publisher:IEEEJournal:ISCAS 2001. The 2001 IEEE International Symposium on Circuits and Systems (Cat. No.01CH37196), volume 2, pages 433-436

Authors: Qun Gao; Philipp Förster; Karl R. Möbus; George S. Moschytz;

doi: 10.1109/iscas.2001.921340

Fingerprint recognition using CNNs: fingerprint preprocessing

- Summary
- Metrics

Abstract

Image preprocessing is an important step in the area of image processing and pattern recognition. In this paper we present a CNN image preprocessing algorithm which is especially suited for fingerprint recognition. It is applied to real gray-scale noisy fingerprints. The results demonstrate the advantage of the proposed algorithm.

Related Organizations

École Polytechnique Fédérale de Lausanne EPFL
Switzerland
Signal and Information Processing Laboratory
Switzerland
ETH Zurich
Switzerland

Impact byBIP!

	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	3
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average