Now showing items 1-8 of 8
Cycle-consistent generative adversarial neural networks based low quality fingerprint enhancement
(Springer, 1 July 202)
Distortions such as dryness, wetness, blurriness, physical damages and presence of dots in fingerprints are a detriment to a good analysis of them. Even though fingerprint image enhancement is possible through physical ...
Statistical machine learning for human behaviour analysis
(MDPI AG, 1 May 2020)
[No abstract available]
A novel deep network architecture for reconstructing RGB facial images from thermal for face recognition
This work proposes a fully convolutional network architecture for RGB face image generation from a given input thermal face image to be applied in face recognition scenarios. The proposed method is based on the FusionNet ...
Guest editorial: special issue on human abnormal behavioural analysis
(Springer Verlag, 2019-07-01)
Automatic access control based on face and hand biometrics in a non-cooperative context
(Institute of Electrical and Electronics Engineers Inc., 2018)
Automatic access control systems (ACS) based on the human biometrics or physical tokens are widely employed in public and private areas. Yet these systems, in their conventional forms, are restricted to active interaction ...
Privacy-constrained biometric system for non-cooperative users
(MDPI AG, 2019-11-01)
With the consolidation of the new data protection regulation paradigm for each individual within the European Union (EU), major biometric technologies are now confronted with many concerns related to user privacy in biometric ...
Reducible dictionaries for single image super-resolution based on patch matching and mean shifting
(IS&T & SPIE, 2017-03)
A single-image super-resolution (SR) method is proposed. The proposed method uses a generated dictionary from pairs of high resolution (HR) images and their corresponding low resolution (LR) representations. First, HR ...
A new low-complexity patch-based image super-resolution
(INST ENGINEERING TECHNOLOGY-IET, 2017-10)
In this study, a novel single image super-resolution (SR) method, which uses a generated dictionary from pairs of high-resolution (HR) images and their corresponding low-resolution (LR) representations, is proposed. First, ...