Decade progress of palmprint recognition: A brief survey
As an advanced research topic in biometrics techniques, palmprint recognition has been
fully studied for more than 20 years. Due to its superiority to other biological features, ie high …
fully studied for more than 20 years. Due to its superiority to other biological features, ie high …
Local line directional pattern for palmprint recognition
Local binary patterns (LBP) are one of the most important image representations. However,
LBPs have not been as successful as other methods in palmprint recognition. Originally, the …
LBPs have not been as successful as other methods in palmprint recognition. Originally, the …
Fractional S-transform and its properties: a comprehensive survey
In time–frequency analysis, generalization of S-transform (ST) is known as fractional S-
transform. Recently, fractional S-transform (FrST) has played an important role in the area of …
transform. Recently, fractional S-transform (FrST) has played an important role in the area of …
A cosine similarity based QUALIFLEX approach with hesitant fuzzy linguistic term sets for financial performance evaluation
JY Dong, Y Chen, SP Wan - Applied Soft Computing, 2018 - Elsevier
The financial performance evaluation is important for investors of listed companies to make
investment decisions. It enables investors to avoid haphazard investment and make a better …
investment decisions. It enables investors to avoid haphazard investment and make a better …
Investigation of power quality disturbances by using 2D discrete orthonormal S-transform, machine learning and multi-objective evolutionary algorithms
The aim of this paper is to investigate the power quality analysis by using 2D discrete
orthonormal S-transform, machine learning and multi-objective evolutionary algorithms. The …
orthonormal S-transform, machine learning and multi-objective evolutionary algorithms. The …
Adaptive management of multimodal biometrics—A deep learning and metaheuristic approach
This paper introduces the framework for adaptive rank-level biometric fusion: a new
approach towards personal authentication. In this work, a novel attempt has been made to …
approach towards personal authentication. In this work, a novel attempt has been made to …
Identification of structural damage using S-transform from 1D and 2D mode shapes
A Katunin - Measurement, 2021 - Elsevier
An improvement of vibration-based damage identification in structures attracted much
attention over the last decades. Many of the developed algorithms to-date, like those based …
attention over the last decades. Many of the developed algorithms to-date, like those based …
Texture based palm Print recognition using 2-D Gabor filter and sub space approaches
Palm Print based biometric systems have attracted much attention in various security
applications because palm prints are rich with unique line, point and texture patterns which …
applications because palm prints are rich with unique line, point and texture patterns which …
Palmprint recognition with deep convolutional features
Palmprint recognition has become popular and significant in many fields because of its high
efficiency and accuracy in personal identification. In this paper, we present a scheme for …
efficiency and accuracy in personal identification. In this paper, we present a scheme for …
Deformed palmprint matching based on stable regions
X Wu, Q Zhao - IEEE Transactions on Image Processing, 2015 - ieeexplore.ieee.org
Palmprint recognition (PR) is an effective technology for personal recognition. A main
problem, which deteriorates the performance of PR, is the deformations of palmprint images …
problem, which deteriorates the performance of PR, is the deformations of palmprint images …