Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Anush Sankaran"'
Publikováno v:
IEEE Access, Vol 3, Pp 653-665 (2015)
Large-scale fingerprint recognition involves capturing ridge patterns at different time intervals using various methods, such as live-scan and paper-ink approaches, introducing intraclass variations in the fingerprint. The performance of existing alg
Externí odkaz:
https://doaj.org/article/bb8ecfb9429448cc931a0b37ee9ab9d3
Publikováno v:
IEEE Access, Vol 2, Pp 982-1004 (2014)
Latent fingerprint has been used as evidence in the court of law for over 100 years. However, even today, a completely automated latent fingerprint system has not been achieved. Researchers have identified several important challenges in latent finge
Externí odkaz:
https://doaj.org/article/7c4cfb68032049ff95f1d085f96a8f98
Autor:
Anush Sankaran, Olivier Mastropietro, Ehsan Saboori, Yasser Idris, Davis Sawyer, MohammadHossein AskariHemmat, Ghouthi Boukli Hacene
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 35:15166-15174
Designing deep learning-based solutions is becoming a race for training deeper models with a greater number of layers. While a large-size deeper model could provide competitive accuracy, it creates a lot of logistical challenges and unreasonable reso
Publikováno v:
Pattern Recognition Letters. 145:88-95
Human mind processes the different primitive components of image signals such as color, shape, texture, and symmetry in a parallel and complex fashion. Deep neural networks aim to learn all these components from the image in an unsupervised manner. H
Publikováno v:
IEEE Transactions on Biometrics, Behavior, and Identity Science. 3:44-58
The latent fingerprint examiners often mark minutiae and perform a comparison of latent fingerprints with exemplar fingerprints of known identity. The interpretation of details in the fingerprints is often based on the proficiency of examiners. Diffe
Publikováno v:
IEEE Transactions on Biometrics, Behavior, and Identity Science. 2:350-362
With the advancements in technology, smartphones’ capabilities have increased immensely. For instance, the smartphone cameras are being used for face and ocular biometric-based authentication. This research proposes finger-selfie based authenticati
Publikováno v:
Domain Adaptation for Visual Understanding ISBN: 9783030306700
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8eaf014f79f91d184a00aa7f3b4a96b0
https://doi.org/10.1007/978-3-030-30671-7_8
https://doi.org/10.1007/978-3-030-30671-7_8
Publikováno v:
Image and Vision Computing. 60:64-74
Unsupervised feature extraction is gaining a lot of research attention following its success to represent any kind of noisy data. Owing to the presence of a lot of training parameters, these feature learning models are prone to overfitting. Different
Publikováno v:
Information Fusion. 34:1-15
Latent fingerprints are important evidences used by law enforcement agencies. However, current state-of-the-art for automatic latent fingerprint recognition is not as reliable as live-scan fingerprints and advancements are required in every step of t
Publikováno v:
Pattern Recognition. 61:674-685
Restricted Boltzmann Machines (RBMs) have been extensively utilized in machine learning as core units in constructing deep learning architectures such as Deep Boltzmann Machines (DBMs) and Deep Belief Networks (DBNs). However, they are prone to overf