Comparing Score Level and Feature Level Fusion in Multimodal Biometric Identification Using Iris and Palmprint Traits with Fractional Transformed Energy Content

Feature Level Fusion ◽

2017 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS) ◽

Android-based multimodal biometric identification system using feature level fusion

10.1109/ispacs.2017.8266457 ◽

2017 ◽

Cited By ~ 1

Author(s):

Xinman Zhang ◽

Yixuan Dai ◽

Xuebin Xu

Keyword(s):

Identification System ◽

Feature Level Fusion ◽

2020 12th International Conference on Electronics, Computers and Artificial Intelligence (ECAI) ◽

A Biometric Identification System with Kernel SVM and Feature-level Fusion

10.1109/ecai50035.2020.9223188 ◽

2020 ◽

Author(s):

Sorin Soviany ◽

Sorin Puscoci ◽

Virginia Sandulescu

Keyword(s):

Identification System ◽

Feature Level Fusion ◽

Level Fusion ◽

Kernel Svm

2014 IEEE 27th Canadian Conference on Electrical and Computer Engineering (CCECE) ◽

PCG biometric identification system based on feature level fusion using canonical correlation analysis

10.1109/ccece.2014.6901068 ◽

2014 ◽

Cited By ~ 7

Author(s):

M. Abo-Zahhad ◽

Sabah M. Ahmed ◽

Sherif N. Abbas

Keyword(s):

Correlation Analysis ◽

Canonical Correlation Analysis ◽

Canonical Correlation ◽

Identification System ◽

Feature Level Fusion ◽

Generation of new points for training set and feature-level fusion in multimodal biometric identification

Machine Vision and Applications ◽

10.1007/s00138-013-0532-y ◽

2013 ◽

Vol 25 (2) ◽

pp. 477-487 ◽

Cited By ~ 3

Author(s):

Dhiman Karmakar ◽

C. A. Murthy

Keyword(s):

Training Set ◽

Feature Level Fusion ◽

Feature Level Fusion of Seven Neighbor Bilinear Interpolation Data Sets of Finger Vein

International Journal of Advanced Trends in Computer Science and Engineering ◽

10.30534/ijatcse/2020/95922020 ◽

2020 ◽

Vol 9 (2) ◽

pp. 1531-1536

Author(s):

Arjun B

Keyword(s):

Data Sets ◽

Bilinear Interpolation ◽

Finger Vein ◽

Feature Level Fusion ◽

The Review of Feature Level Fusion of Multi-Focused Images Using Wavelets

Recent Patents on Signal Processing ◽

10.2174/1877612401002010028 ◽

2010 ◽

Vol 2 (1) ◽

pp. 28-38 ◽

Cited By ~ 3

Author(s):

K. Kannan ◽

S. Arumuga Perumal ◽

K. Arulmozhi

Keyword(s):

Feature Level Fusion ◽

A Deep 2D/3D Feature-Level Fusion for Classification of UAV Multispectral Imagery in Urban Areas

Geocarto International ◽

10.1080/10106049.2021.1959655 ◽

2021 ◽

pp. 1-16

Author(s):

Hossein Pourazar ◽

Farhad Samadzadegan ◽

Farzaneh Dadrass Javan

Keyword(s):

Urban Areas ◽

Multispectral Imagery ◽

Feature Level Fusion ◽

Feature-level fusion of physiological parameters to be used as cryptographic keys

2017 IEEE International Conference on Communications (ICC) ◽

10.1109/icc.2017.7996338 ◽

2017 ◽

Author(s):

Duygu Karaoglan Altop ◽

Albert Levi ◽

Volkan Tuzcu

Keyword(s):

Physiological Parameters ◽

Feature Level Fusion ◽

Cryptographic Keys ◽

Proceedings. 2005 IEEE International Geoscience and Remote Sensing Symposium, 2005. IGARSS '05. ◽

3S data feature-level fusion by neural network

10.1109/igarss.2005.1525768 ◽

2005 ◽

Author(s):

Yannan Sun ◽

Min Han ◽

Shiguo Xu

Keyword(s):

Neural Network ◽

Feature Level Fusion ◽

Using bidirectional Binary Particle Swarm Optimization for feature selection in feature-level fusion recognition system

2009 4th IEEE Conference on Industrial Electronics and Applications ◽

10.1109/iciea.2009.5138918 ◽

2009 ◽

Author(s):

Dawei Wang ◽

Wei Ge ◽

Yanjie Wang

Keyword(s):

Feature Selection ◽

Particle Swarm Optimization ◽

Particle Swarm ◽

Recognition System ◽

Binary Particle Swarm Optimization ◽

Swarm Optimization ◽

Feature Level Fusion ◽