An image auto-focusing algorithm for industrial image measurement S Liu, M Liu, Z Yang EURASIP Journal on Advances in Signal Processing 2016, 1-16, 2016 | 45 | 2016 |
A multi-task fully deep convolutional neural network for contactless fingerprint minutiae extraction Z Zhang, S Liu, M Liu Pattern Recognition 120, 108189, 2021 | 37 | 2021 |
Sparse coding based orientation estimation for latent fingerprints S Liu, M Liu, Z Yang Pattern Recognition 67, 164-176, 2017 | 31 | 2017 |
Fingerprint orientation field reconstruction by weighted discrete cosine transform M Liu, S Liu, Q Zhao Information Sciences 268, 65-77, 2014 | 29 | 2014 |
Latent fingerprint segmentation based on linear density S Liu, M Liu, Z Yang 2016 International Conference on Biometrics (ICB), 1-6, 2016 | 21 | 2016 |
Latent fingerprint segmentation based on ridge density and orientation consistency M Liu, S Liu, W Yan Security and Communication Networks 2018 (1), 4529652, 2018 | 13 | 2018 |
Fingerprint orientation modeling by sparse coding S Liu, M Liu 2012 5th IAPR International Conference on Biometrics (ICB), 176-181, 2012 | 11 | 2012 |
Optimal output tracking control of linear discrete-time systems with unknown dynamics by adaptive dynamic programming and output feedback X Cai, C Wang, S Liu, G Chen, G Wang International Journal of Systems Science 53 (16), 3426-3448, 2022 | 7 | 2022 |
Towards more accurate matching of contactless fingerprints with a deep geometric graph convolutional network Y Shi, Z Zhang, S Liu, M Liu IEEE Transactions on Biometrics, Behavior, and Identity Science 5 (1), 29-38, 2022 | 3 | 2022 |
Latent Fingerprint orientation estimation via sparse representation M Liu, S Liu 2015 10th International Conference on Information, Communications and Signal …, 2015 | 1 | 2015 |
Research Article Latent Fingerprint Segmentation Based on Ridge Density and Orientation Consistency M Liu, S Liu, W Yan | | 2018 |