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Differential evolution based score level fusion for multi-modal biometric systems

Satrajit Mukherjee, Kunal Pal, Bodhisattwa Prasad Majumder, Chiranjib Saha, B. K. Panigrahi, Sanjoy Das
2014 2014 IEEE Symposium on Computational Intelligence in Biometrics and Identity Management (CIBIM)  
Amongst different levels of information fusion, very few approaches exist in literature exploring score level fusion.  ...  Experimental results show that, the proposed method outperforms the conventional score-level fusion rules (sum, product, tanh, exponential) when tested on two databases of 4 modalities (fingerprint, iris  ...  ACKNOWLEDGEMENTS The courtesy of both these databases goes to Biometrics Lab, Indian Institute of Technology, Delhi (IITD).  ... 
doi:10.1109/cibim.2014.7015441 dblp:conf/cibim/MukherjeePMSPD14 fatcat:wztieiuzcnfivg3v44urha7xtu

Multimodal biometrics Fusion based on TER and Hybrid Intelligent Multiple Hidden Layer Probabilistic Extreme Learning Machine

Di Wu, Qin Wan
2018 International Journal of Computational Intelligence Systems  
on differential evolution and particle swarm optimization.  ...  Experiment result shown that the proposed method renders very good performance as it is quite computationally and outperforms the traditional score level fusion schemes, the experimental result also confirms  ...  In [17] , Lamia et al proposed a score level fusion algorithm using Differential Evolution and Proportional Conflict Redistribution Rule.  ... 
doi:10.2991/ijcis.11.1.71 fatcat:lwaza65hdvfzpmfupzzwy3buzu

Optimized multi‐biometric enhancement analysis

Saliha Artabaz, Layth Sliman, Karima Benatchba, Mouloud Koudil
2021 IET Biometrics  
A multi-biometric system uses different modalities to identify individuals more accurately. The authors analyse fusion efficiency of a significant number of multi-biometric fusion schemes.  ...  The functions are represented using a tree of arithmetic operations and are used for fusion at score level. First, genetic programming is implemented on the XM2VTS score database.  ...  Multi-biometrics fusion is applied at different levels: signal level (namely image level), feature level, score level, decision level and rank level.  ... 
doi:10.1049/bme2.12026 fatcat:7xw4n7vvlnarhcxuzx2qy3oqdm

On combining multi-normalization and ancillary measures for the optimal score level fusion of fingerprint and voice biometrics

Sharafudeen Thaha Mohammed Anzar, Puthumangalathu Savithri Sathidevi
2014 EURASIP Journal on Advances in Signal Processing  
In this paper, we have considered the utility of multi-normalization and ancillary measures, for the optimal score level fusion of fingerprint and voice biometrics.  ...  An efficient matching score preprocessing technique based on multi-normalization is employed for improving the performance of the multimodal system, under various noise conditions.  ...  They can be used as auxiliary quality information for the score level fusion.  ... 
doi:10.1186/1687-6180-2014-10 fatcat:qxunlmckubd35d6xemmpzav7dq

A Novel Technique to Enhance Performance of Multibiometric Framework using Bin based Classifier Based on Multi-algorithm Score Level Fusion

2020 VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE  
The test results demonstrate that the multibiometric system as a Bin based classifier employing multi-algorithm score level fusion provides better outcomes than the other fusion rule like Likelihood Ratio  ...  This work shows a multibiometric framework to upgrade the recognition rate and reduce the error rate using Bin based classifier based on score level (multi-algorithm) fusion.  ...  [14] addressed score and feature level based Multi-algorithm framework for face and iris.  ... 
doi:10.35940/ijitee.c8773.019320 fatcat:iqonuja43jhcvd36punl54zirq

Ocular biometrics: A survey of modalities and fusion approaches

Ishan Nigam, Mayank Vatsa, Richa Singh
2015 Information Fusion  
The paper discusses existing algorithms and the limitations of each of the biometric traits and information fusion approaches which combine ocular modalities with other modalities.  ...  machine learning algorithms for better representation and classification, (iv) developing algorithms for ocular recognition at a distance, (v) using multimodal ocular biometrics for recognition, and (  ...  Hugo Proença for their insightful comments.  ... 
doi:10.1016/j.inffus.2015.03.005 fatcat:ph2katoyuzdylamlesnt7vzbay

Enhanced Authentication Mechanisms for Desktop Platform and Smart Phones

Dina EL, Hoda M., Osman Hegazy
2012 International Journal of Advanced Computer Science and Applications  
In this paper, we will explain the employment of biometrics to computer and mobile platforms.  ...  Finally, we propose an authentication scheme for smart phones that shows positive results.  ...  ACKNOWLEDGMENT We would like to thank Professor Walter Beagley, Professor of Psychology at Alma College for letting us use the Eye Lines Program to collect the data.  ... 
doi:10.14569/ijacsa.2012.031017 fatcat:rauczqen5jhcfo5cklwtonnuu4

Unimodal and Multimodal Biometric Sensing Systems: A Review

Muhtahir O. Oloyede, Gerhard P. Hancke
2016 IEEE Access  
It also touches on levels and methods of fusion involved in biometric systems and gives researchers in this area a better understanding of multimodal biometric sensing and processing systems and research  ...  It furthermore gives room for research on how to find solutions to issues on various unimodal biometric systems.  ...  (2007) , for inspiring membership development and services as a member of several regional and technical conferences worldwide.  ... 
doi:10.1109/access.2016.2614720 fatcat:yfbp2d774nat3hf6tqj55r5nim

On estimating performance indices for biometric identification

Jay Bhatnagar, Ajay Kumar
2009 Pattern Recognition  
a user and for the biometric system, (iii) information content of biometric features, and (iv) the performance of score level fusion rules for multimodal biometric system.  ...  Firstly, we formulate the constrained capacity, as a performance index for biometric authentication system for the finite number of users.  ...  The authors would like to thank the anonymous reviewers for their valuable comments and suggestions. X.  ... 
doi:10.1016/j.patcog.2008.10.004 fatcat:rozurr64bfecrpg7ixm23ph54m

A Comprehensive Survey on ECG signals as New Biometric Modality for Human Authentication: Recent Advances and Future Challenges

Anthony Ngozichukwuka Uwaechia, Dzati Athiar Ramli
2021 IEEE Access  
There are several different schemes for realizing score level fusion premised on different models, such as densitybased fusion schemes, classifier-based score fusion schemes, and transformation-based score  ...  Score-level fusion is the preferable strategy for multimodal biometric modalities since classifier scores are straightforwardly obtained and processed to be fused [388] .  ... 
doi:10.1109/access.2021.3095248 fatcat:6bdgelhmanb27ii25e25wkewey

Towards a multi-source fusion approach for eye movement-driven recognition

Ioannis Rigas, Evgeniy Abdulin, Oleg Komogortsev
2016 Information Fusion  
It should be also emphasized that although the concept of 36 multi-stimulus fusion is currently evaluated specifically for the eye movement biometrics, it can be 37 adopted by other biometric modalities  ...  26 This paper presents a research for the use of multi-source information fusion in the field of eye 27 movement biometrics.  ...  the information 189 in the comparison score level.  ... 
doi:10.1016/j.inffus.2015.08.003 fatcat:uk5mpcsakfbahfvnocgtc7qmve

Multimodal EEG and Keystroke Dynamics Based Biometric System Using Machine Learning Algorithms

Arafat Rahman, Muhammad E. H. CHowdhury, Amith Khandakar, Serkan Kiranyaz, Kh Shahriya Zaman, Mamun Bin Ibne Reaz, Mohammad Tariqul Islam, Maymouna Ezeddin, Muhammad Abdul Kadir
2021 IEEE Access  
A machine learning classification pipeline is developed using multi-domain feature extraction (time, frequency, time-frequency), feature selection (Gini impurity), classifier design, and score level fusion  ...  Electroencephalography (EEG) based biometric systems are gaining attention for their anti-spoofing capability but lack accuracy due to signal variability at different psychological and physiological conditions  ...  [16] proposed a method named differential evolution and adversarial noise-based user authentication (DEANUA) for reducing equal error rate (EER) in smartphone-based keystroke biometrics.  ... 
doi:10.1109/access.2021.3092840 fatcat:uoxt32ws5jggzaxvz7de5t7ggm

Unobtrusive multi-modal biometric recognition using activity-related signatures

A. Drosou, G. Stavropoulos, D. Ioannidis, K. Moustakas, D. Tzovaras
2011 IET Computer Vision  
Finally, score level fusion is performed and the experimental results illustrate that the proposed multimodal biometric scheme provides very promising results in realistic application scenarios.  ...  Gait, that forms the major modality of the scheme, is complemented by new dynamic biometric signatures extracted from several activities performed by the user.  ...  Contribution The present paper proposes a novel scheme for the integration of two activity-related traits in a multimodal biometric recognition system, using a score level fusion of the individual modalities  ... 
doi:10.1049/iet-cvi.2010.0166 fatcat:6dnszlrdbjhwzkxxxw3lyqpby4

ChimericalDataset Creation Protocol Based on Doddington Zoo: A Biometric Application with Face, Eye, and ECG

Pedro Lopes Silva, Eduardo Luz, Gladston Moreira, Lauro Moraes, David Menotti
2019 Sensors  
Moreover, we have proposed a multimodal approach for these modalities based on state-of-the-art deep representations built by convolutional neural networks.  ...  Multimodal systems are a workaround to enhance the robustness and effectiveness of biometric systems. A proper multimodal dataset is of the utmost importance to build such systems.  ...  Two of the most promising modalities in the biometric scenario, the iris and the face, were merged in [19] on a score level fusion using a weighted sum rule.  ... 
doi:10.3390/s19132968 fatcat:hxs3rw3lurabbfeiarvua35x6e

Towards View-point Invariant Person Re-identification via Fusion of Anthropometric and Gait Features from Kinect Measurements

Athira Nambiar, Alexandre Bernardino, Jacinto C. Nascimento, Ana Fred
2017 Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications  
In this work, we present view-point invariant person re-identification (Re-ID) by multi-modal feature fusion of 3D soft biometric cues.  ...  We illustrate, for the first time, gait-based person re-identification with truly view-point invariant behaviour, i.e. the walking direction of the probe sample being not represented in the gallery samples  ...  However, our experiments were explicitly made in different views, and via naive score-level fusion of multi-modalities.  ... 
doi:10.5220/0006165301080119 dblp:conf/visapp/NambiarBNF17 fatcat:6cpnpucsbvhmbdtdneuebotltm
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