Local median based linear regression classification for biometric recognition

Z Yang, W Wang, P Huang, G Gao, X Wu… - Computers & Electrical …, 2021 - Elsevier
As an efficacy classification technique, linear regression based classification (LRC) has
been popularly used for image recognition. However, since LRC neglects the local structure …

[PDF][PDF] Supervised Feature Reduction Technique for Biometric Recognition using Palm Print Modalities

JP Chaudhari, HK Mewada, AV Patel… - Bioscience …, 2020 - researchgate.net
Technological resource assessments security is a major concerned and Biometric is one of
the most robust identification techniques. The common approach for the biometric …

Palm-print recognition based on quality estimation and feature dimension

P Poonia, PK Ajmera - International Journal of …, 2022 - inderscienceonline.com
Human identification exploitation biometric traits are more and more in style in recent years.
Among the widely used biometric traits, palm-print is a vital one because of its acquisition …

Palm-print recognition based on scale invariant features

P Poonia, PK Ajmera, A Bhalerao - 2019 IEEE 16th India …, 2019 - ieeexplore.ieee.org
Over the past few years, palm-print recognition has proved to be one of the extensively used
technology for human identification/verification in many aspects. This paper presents the …

Palm print recognition using PCA-based adaptive weighted directional features

S Daniel, V Maik - 2017 2nd IEEE International Conference on …, 2017 - ieeexplore.ieee.org
Palm print recognition is a recent addition to the long list of biometric recognition which
includes Iris, fingerprint, facial features and gait. The palm print unlike other biometric …

Median Fisher Discriminator: a robust feature extraction method with applications to biometrics

J Yang, J Yang, D Zhang - Frontiers of Computer Science in China, 2008 - Springer
Abstract In existing Linear Discriminant Analysis (LDA) models, the class population mean is
always estimated by the class sample average. In small sample size problems, such as face …

A robust palmprint identification system using histogram of oriented gradients and multi-classifiers

A Meraoumia, S Chitroub… - 2015 4th International …, 2015 - ieeexplore.ieee.org
Nowadays, identification of persons has a great importance for information protection and
access control. Thus, automatic person identification based on biometrics has become a …

Multi-linear regression coefficient classifier for recognition

Q Feng, Q Zhu, C Yuan, I Lee - 2016 IEEE Congress on …, 2016 - ieeexplore.ieee.org
In this paper, a new classifier, called multiple linear regression coefficients (MLRC), is
proposed for image recognition. Linear regression classification (LRC) uses the linear …

Comprehensive Evaluation of Appearance-Based Techniques for Palmprint Features Extraction using Probabilistic Neural Network, Cosine Measures and Euclidean …

NO Akande, OC Abikoye, IA Adeyemo… - Editura Universitatii …, 2018 - eprints.lmu.edu.ng
Most biometric systems work by comparing features extracted from a query biometric trait
with those extracted from a stored biometric trait. Therefore, to a great extent, the accuracy of …

[PDF][PDF] Palmprint recognition: a naive bayesian approach

Z Nisar, Z Jan, R Khan, RJ Qureshi - World Applied Sciences Journal, 2014 - academia.edu
Identification of individuals via palmprint based biometric system is becoming very popular
due to its reliability and high performance as it is enriched with several unique and stable …