Current efforts for prediction and assessment of natural disasters: Earthquakes, tsunamis, volcanic eruptions, hurricanes, tornados, and floods

JP Amezquita-Sanchez… - Scientia …, 2017 - scientiairanica.sharif.edu
This article presents a state-of-the-art review of di fferent methods, signal and image
processing techniques, and statistical analyses used for prediction and assessment of …

Towards activity recognition from eye-movements using contextual temporal learning

F Martinez, E Pissaloux… - Integrated Computer …, 2017 - content.iospress.com
Patterns of gaze play an important role in video analysis and understanding human
behavior. This paper proposes a novel approach to solve the problem of activity recognition …

Novel visual information indexing in relational databases

M Korytkowski - Integrated Computer-Aided Engineering, 2017 - content.iospress.com
This paper presents a novel relational database architecture aimed for visual objects
classification and retrieval based on the content of images. Most methods search and …

Hybrid minutiae and edge corners feature points for increased fingerprint recognition performance

R Nachar, E Inaty, PJ Bonnin, Y Alayli - Pattern Analysis and Applications, 2020 - Springer
In general, most fingerprint recognition systems are based on the minutiae feature points.
When matching two fingerprint images, the goal in most recognition systems is to find the …

A hybrid approach for brain image registration with local constraints

WY Hsu - Integrated Computer-Aided Engineering, 2017 - content.iospress.com
In this study, a novel approach, which is the combination of wavelet-based edge correlation
(WEC), speeded up robust features (SURF) feature descriptors and feature point matching …

Minutiae and corner detection in fingerprints without image enhancement for real time recognition

R Nachar, E Inaty, PJ Bonnin… - 2017 8th International …, 2017 - ieeexplore.ieee.org
Most fingerprint verification and recognition systems are based on the minutiae feature
points. This paper presents a novel and robust edge based minutiae and corner detection …