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 …
A novel hierarchical approach for multispectral palmprint recognition
Palmprint is one important biometric feature with uniqueness, stability and high
distinguishability, and its study has attracted much attention in the past decades. Although …
distinguishability, and its study has attracted much attention in the past decades. Although …
Identity verification using shape and geometry of human hands
A multimodal biometric system for personal identity verification is proposed using hand
shape and hand geometry in this paper. Shape and geometry features are derived with the …
shape and hand geometry in this paper. Shape and geometry features are derived with the …
Deep learning feature extraction for multispectral palmprint identification
Person's identity validation is becoming much more essential due to the increasing demand
for high-security systems. A biometric system testifies the authenticity of specific …
for high-security systems. A biometric system testifies the authenticity of specific …
[HTML][HTML] Enhancing security in brain–computer interface applications with deep learning: Electroencephalogram-based user identification
Electroencephalogram (EEG) signals have gained widespread use in medical applications,
and the utilization of EEG signals as a biometric feature for user identification systems in …
and the utilization of EEG signals as a biometric feature for user identification systems in …
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 …
Biometric recognition based on hand schape and palmprint modalities
N Charfi - 2017 - theses.hal.science
Biometry is a technology which is based on the personal identification using their physical
features (fingerprint, hand geometry, palmprint) and/or behavioral features (voice, dynamic …
features (fingerprint, hand geometry, palmprint) and/or behavioral features (voice, dynamic …
Palmprint identification using GLCM texture features extraction and SVM classifier.
R Mokni, M Kherallah - Journal of Information Assurance & …, 2016 - search.ebscohost.com
As a reliable biometric characteristic, the palmprint recognition has recently represented an
emerging trend in the pattern recognition field. It is a human physiological feature that …
emerging trend in the pattern recognition field. It is a human physiological feature that …
Fusing multi-techniques based on LDA-CCA and their application in palmprint identification system
In this paper, we investigate an efficient palmprint texture modeling method that incorporates
a robust analysis based on fusing multiple information. In fact, a single descriptor alone may …
a robust analysis based on fusing multiple information. In fact, a single descriptor alone may …
Multiset canonical correlation analysis: texture feature level fusion of multiple descriptors for intra-modal palmprint biometric recognition
This paper describes a novel intra-modal feature fusion for palmprint recognition based on
fusing multiple descriptors to analyze the complex texture pattern. The main contribution lies …
fusing multiple descriptors to analyze the complex texture pattern. The main contribution lies …