Efficient plane extraction using normal estimation and RANSAC from 3D point cloud

L Yang, Y Li, X Li, Z Meng, H Luo - Computer Standards & Interfaces, 2022 - Elsevier
Indoor plane extraction on point cloud has always been a research hotspot, in which random
sample consensus (RANSAC) is known as a common algorithm. However, impacted by …

Optimal placement and sizing of renewable distributed generations and capacitor banks into radial distribution systems

M Kumar, P Nallagownden, I Elamvazuthi - Energies, 2017 - mdpi.com
In recent years, renewable types of distributed generation in the distribution system have
been much appreciated due to their enormous technical and environmental advantages …

Deep learning architecture for iris recognition based on optimal Gabor filters and deep belief network

F He, Y Han, H Wang, J Ji, Y Liu… - Journal of Electronic …, 2017 - spiedigitallibrary.org
Gabor filters are widely utilized to detect iris texture information in several state-of-the-art iris
recognition systems. However, the proper Gabor kernels and the generative pattern of iris …

Iris recognition based on bidimensional empirical mode decomposition and fractal dimension

WK Chen, JC Lee, WY Han, CK Shih, KC Chang - Information Sciences, 2013 - Elsevier
As the demand for information security increases, more attention is being paid to biometrics-
based, automated personal identification. One of the most promising current biometric …

Sparsity-based correction of exponential artifacts

Y Ding, IW Selesnick - Signal Processing, 2016 - Elsevier
This paper describes an exponential transient excision algorithm (ETEA). In biomedical time
series analysis, eg, in vivo neural recording and electrocorticography (ECoG), some …

[PDF][PDF] Performances of proposed normalization algorithm for iris recognition.

Y Jusman, NS Cheok, K Hasikin - International Journal of Advances …, 2020 - academia.edu
A typical biometric recognition system mainly consists of four modules, acquisition and
detection of biometric characteristics, extraction of a feature set, representation of the …

Empirical mode decomposition for online handwritten signature verification

T Hafs, L Bennacer, M Boughazi, A Nait‐Ali - IET Biometrics, 2016 - Wiley Online Library
The handwritten signature is a biometric method used to verify a person's identity. This study
lies within the scope of an online handwritten signature verification system, in which a …

[PDF][PDF] Reconnaissance Biométrique Multimodale basée sur la fusion en score de deux modalités biométriques: l'empreinte digitale et la signature manuscrite cursive …

H Toufik - Université Badji Mokhtar–Annaba, 2016 - biblio.univ-annaba.dz
Résumé La biométrie multimodale, qui consiste à combiner plusieurs systèmes
biométriques, est de plus en plus étudiée. En effet, elle permet de réduire certaines …

Novel approaches to improve iris recognition system performance based on local quality evaluation and feature fusion

Y Chen, Y Liu, X Zhu, H Chen, F He… - The Scientific World …, 2014 - Wiley Online Library
For building a new iris template, this paper proposes a strategy to fuse different portions of
iris based on machine learning method to evaluate local quality of iris. There are three …

Autoregressive modeling-based feature extraction of EEG/EOG signals

A Gupta, V Bhateja, A Mishra, A Mishra - Information and Communication …, 2019 - Springer
Electroencephalogram (EEG) records the electrical patterns of the brain, whereas
electrooculogram (EOG) represents the same for eye. Both are complex and are challenged …