Fingerprint Matching Using Feature Space Correlation
ECCV '02 Proceedings of the International ECCV 2002 Workshop Copenhagen on Biometric Authentication
A two-stage fingerprint classification system
WBMA '03 Proceedings of the 2003 ACM SIGMM workshop on Biometrics methods and applications
Handbook of Fingerprint Recognition
Handbook of Fingerprint Recognition
Fingerprint verification using correlation filters
AVBPA'03 Proceedings of the 4th international conference on Audio- and video-based biometric person authentication
Filterbank-based fingerprint matching
IEEE Transactions on Image Processing
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Fingerprint recognition has been used from many years for identification of persons. However, conventional fingerprint recognition systems might fail with poor quality, noisy or rotated images. Recently, novel non-linear composite filters for correlation-based pattern recognition have been introduced. The filters are designed with information from distorted versions of reference object to achieve distortion-invariant recognition. Besides, a non-linear correlation operation is applied among the filter and the test image. These kinds of filters are robust to non-Gaussian noise. In this paper we apply non-linear composite filters for fingerprint verification. Computer simulations show performance of proposed filters with distorted fingerprints. In addition, in order to illustrate robustness to noise, filters were tested with noisy images.