Combination of physiological and behavioral biometric for human identification

Authors:
Emdad Hossain;Girija Chetty
Affiliations:
Faculty of Information Sciences and Engineering, University of Canberra, Australia;Faculty of Information Sciences and Engineering, University of Canberra, Australia
Venue:
MLDM'12 Proceedings of the 8th international conference on Machine Learning and Data Mining in Pattern Recognition
Year:
2012

Citing 6
Cited 0

On Combining Classifiers

IEEE Transactions on Pattern Analysis and Machine Intelligence
Information fusion in biometrics

Pattern Recognition Letters - Special issue: Audio- and video-based biometric person authentication (AVBPA 2001)
Comparison and Combination of Ear and Face Images in Appearance-Based Biometrics

IEEE Transactions on Pattern Analysis and Machine Intelligence
Combining face and iris biometrics for identity verification

AVBPA'03 Proceedings of the 4th international conference on Audio- and video-based biometric person authentication
3D Face Recognition Using Isogeodesic Stripes

IEEE Transactions on Pattern Analysis and Machine Intelligence
3D Face Reconstruction from a Single Image Using a Single Reference Face Shape

IEEE Transactions on Pattern Analysis and Machine Intelligence

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper we propose a novel person-identification scheme based on gait biometric information in surveillance videos using simple PCA-LDA features, and RBF-MLP and SMO-SVM classifier. The experimental evaluation on resolution surveillance video images from a publicly available database [1] showed that the combined PCA-MLP and LDA-MLP technique turns out to be a powerful method for capturing identity specific information from walking gait patterns.