In this case, the network will learn to extract a more efficient set of features for the dataset than the features for ImageNet. As the use of biometric solutions increases, Fingerprints is working to broaden its offering by using different biometric techniques, or modalities, and to identify other market segments where the solutions can be used, such as smart cards, PCs, automotive and online devices IoT. Institutionen för signaler och system The success is based on product development at the cutting edge of technology, which results in world-leading products in terms of security, convenience and performance. Klicka Öppna i nytt fönster för att läsa.
VGGNet, with a focus on the relationship between the performance discrepancy and the characteristics of the dataset.
Gå till mobilversionen av bokus. The tremendous world-wide interest in intelligent biometric techniques in fingerprint and face recognition is fueled by the myriad of potential applications, including banking and security systems, and limited only by the imaginations of scientists and engineers. Second, we study how different regularization and data augmentation techniques will have effects on the learning performance. We also tried adding random Gaussian noise and random cropping, but do not obtain much improvement. Klicka Öppna i nytt fönster för att läsa. Moreover, facial expression recognition can be applied to many other interesting applications such as human behavior research and human-computer interface.