19-03-2014, 11:18 AM
Recognition of Selected Fingerprints and Iris Features Enhanced by Curvelet Transform with Artificial Neural Networks
ABSTRACT
In this study, curvelet transform is applied biometric images for enhancement. Obtained results after applied curvelet transform is compared to the other traditional image enhancement algorithms. Features obtained from enhanced fingerprints and iris images are selected by using Genetic Algorithms because of too huge dataset. Selected features are input to Artificial Neural Networks for biometric recognition. Thus, the recognition is achieved very fast without to reduce the performance.
ABSTRACT
In this study, curvelet transform is applied biometric images for enhancement. Obtained results after applied curvelet transform is compared to the other traditional image enhancement algorithms. Features obtained from enhanced fingerprints and iris images are selected by using Genetic Algorithms because of too huge dataset. Selected features are input to Artificial Neural Networks for biometric recognition. Thus, the recognition is achieved very fast without to reduce the performance.