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 …
Improved differential box counting with multi-scale and multi-direction: A new palmprint recognition method
A novel palmprint recognition called improved differential box counting (IDBC) with multi-
scale and multi-directional is proposed in this paper. At present, fractal dimension as feature …
scale and multi-directional is proposed in this paper. At present, fractal dimension as feature …
[PDF][PDF] Palmprint Feature Extraction Based on Curvelet Transform.
F Liu, L Zhou, ZM Lu, T Nie - J. Inf. Hiding Multim. Signal Process., 2015 - bit.kuas.edu.tw
An approach of palmprint feature extraction based on the second frequency band curvelet
coefficients is proposed in this paper. As we all know, the veins of the palmprint are the …
coefficients is proposed in this paper. As we all know, the veins of the palmprint are the …
Power quality disturbances classification based on curvelet transform
Y Shen, F Hussain, H Liu, D Addis - International Journal of …, 2018 - Taylor & Francis
This article presents a novel method for power quality disturbances (PQDs) classification
based on curvelet transform (CT), locality preserving projection (LPP), and multi-class …
based on curvelet transform (CT), locality preserving projection (LPP), and multi-class …
Human identity recognition using sparse auto encoder for texture information representation in palmprint images based on voting technique
Nowadays, biometric systems are used for the security and personal recognition. The
palmprint trait is one among the most confident physiological modalities that can be used to …
palmprint trait is one among the most confident physiological modalities that can be used to …
[PDF][PDF] Dense hand-CNN: a novel CNN architecture based on later fusion of neural and wavelet features for identity recognition
EA Elgallad, W Ouarda… - International Journal of …, 2019 - pdfs.semanticscholar.org
Biometric recognition or biometrics has emerged as the best solution for criminal
identification and access control applications where resources or information need to be …
identification and access control applications where resources or information need to be …
An efficient feature extraction technique for palm-print recognition system
G Yashodha, R Bremananth - International Journal of …, 2017 - inderscienceonline.com
Palm-print recognition has been investigated over many decades. Palm-print recognition
has many phases in which region mapping and feature extraction play an important role. In …
has many phases in which region mapping and feature extraction play an important role. In …
A palmprint classification method based on finite ridgelet transformation and SVM
WJ Huai, L Shang - … Computing: 7th International Conference, ICIC 2011 …, 2012 - Springer
A multi-scale palm print classification method based on FRIT (finite ridgelet transform) and
SVM (support vector machine) was proposed. First, palm image with preprocessing was …
SVM (support vector machine) was proposed. First, palm image with preprocessing was …
[PDF][PDF] Palmprint Recognition Based on Curvelet and Local Directional Pattern
F Liu, L Zhou, Z Lu, K Zhao - ICIC express letters. Part B …, 2016 - scholar.archive.org
The principle lines and wrinkles of a palmprint image can be extracted as the features to
perform biometric identification in civil and commercial fields usually. Because the principles …
perform biometric identification in civil and commercial fields usually. Because the principles …
[引用][C] The Use of Neural Networks for Identity Recognition Through Palm Print and Voting Technique
EA Elgallad - 2019 - Sudan University of Science & …