Fingerprint recognition using neural network
Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
Author(s)
Detail(s)
| Original language | English |
|---|---|
| Title of host publication | Neural Networks for Signal Processing |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. |
| Pages | 226-235 |
| ISBN (print) | 780301188 |
| Publication status | Published - 1991 |
Conference
| Title | Proceedings of the 1991 Workshop on Neural Networks for Signal Processing - NNSP-91 |
|---|---|
| City | Princeton, NJ, USA |
| Period | 30 September - 2 October 1991 |
Link(s)
Abstract
This paper describes a neural network based approach for automated fingerprint recognition. Minutiae are extracted from the fingerprint image via a multilayer perceptron (MLP) classifier with one hidden layer. The backpropagation learning technique is used for its training. Selected features are represented in a special way such that they are simultaneously invariant under shift, rotation and scaling. Simulation results are obtained with good detection ratio and low failure rate. The proposed method is found to be reliable for system with a small set of fingerprint data.
Citation Format(s)
Fingerprint recognition using neural network. / Leung, W. F.; Leung, S. H.; Lau, W. H. et al.
Neural Networks for Signal Processing. Institute of Electrical and Electronics Engineers, Inc., 1991. p. 226-235.
Neural Networks for Signal Processing. Institute of Electrical and Electronics Engineers, Inc., 1991. p. 226-235.
Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
