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Accurate feature extraction for multimodal biometrics combining iris and palmprint

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Accurate feature extraction for multimodal biometrics combining iris and palmprint. / Vyas, R.; Kanumuri, T.; Sheoran, G. et al.
In: Journal of Ambient Intelligence and Humanized Computing, Vol. 13, 31.12.2022, p. 5581-5589.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Vyas, R, Kanumuri, T, Sheoran, G & Dubey, P 2022, 'Accurate feature extraction for multimodal biometrics combining iris and palmprint', Journal of Ambient Intelligence and Humanized Computing, vol. 13, pp. 5581-5589. https://doi.org/10.1007/s12652-021-03190-0

APA

Vyas, R., Kanumuri, T., Sheoran, G., & Dubey, P. (2022). Accurate feature extraction for multimodal biometrics combining iris and palmprint. Journal of Ambient Intelligence and Humanized Computing, 13, 5581-5589. https://doi.org/10.1007/s12652-021-03190-0

Vancouver

Vyas R, Kanumuri T, Sheoran G, Dubey P. Accurate feature extraction for multimodal biometrics combining iris and palmprint. Journal of Ambient Intelligence and Humanized Computing. 2022 Dec 31;13:5581-5589. Epub 2021 Apr 26. doi: 10.1007/s12652-021-03190-0

Author

Vyas, R. ; Kanumuri, T. ; Sheoran, G. et al. / Accurate feature extraction for multimodal biometrics combining iris and palmprint. In: Journal of Ambient Intelligence and Humanized Computing. 2022 ; Vol. 13. pp. 5581-5589.

Bibtex

@article{d6295580db444c79b60dc900ac690de1,
title = "Accurate feature extraction for multimodal biometrics combining iris and palmprint",
abstract = "Multimodal biometric systems provide a way to combat with the limitations of a unimodal biometric system which include less accuracy and user acceptability. In this context, a coding based approach called bit-transition code, is proposed for addressing the less-explored problem of designing a biometric-based authentication system by combining the iris and palmprint modalities. The approach is based on the encoding of binary transitions of symmetric and asymmetric parts of the Gabor filtered images at all pixel locations. Score-level fusion is employed to integrate the individual iris and palmprint performances. Experiments are carried out with three benchmark iris/palmprint databases, namely IITD iris and palmprint databases and PolyU palmprint database. The performance is measured in terms of receiver operator characteristics (ROC) curves and other metrics, like equal error rate and area under ROC curves. A comprehensive comparison, with several state-of-the-art approaches, is presented in order to validate the usefulness of the proposed approach.",
keywords = "Bit-transition code, Iris recognition, Multimodal biometrics, Palmprint recognition, Anthropometry, Database systems, Gabor filters, Image coding, Area under roc curve (AUC), Biometric-based authentication systems, Comprehensive comparisons, Multi-modal biometrics, Multimodal biometric systems, PolyU Palmprint Database, Receiver operator characteristics curves, State-of-the-art approach, Biometrics",
author = "R. Vyas and T. Kanumuri and G. Sheoran and P. Dubey",
note = "The final publication is available at Springer via http://dx.doi.org/10.1007/s12652-021-03190-0",
year = "2022",
month = dec,
day = "31",
doi = "10.1007/s12652-021-03190-0",
language = "English",
volume = "13",
pages = "5581--5589",
journal = "Journal of Ambient Intelligence and Humanized Computing",
issn = "1868-5137",
publisher = "Springer Verlag",

}

RIS

TY - JOUR

T1 - Accurate feature extraction for multimodal biometrics combining iris and palmprint

AU - Vyas, R.

AU - Kanumuri, T.

AU - Sheoran, G.

AU - Dubey, P.

N1 - The final publication is available at Springer via http://dx.doi.org/10.1007/s12652-021-03190-0

PY - 2022/12/31

Y1 - 2022/12/31

N2 - Multimodal biometric systems provide a way to combat with the limitations of a unimodal biometric system which include less accuracy and user acceptability. In this context, a coding based approach called bit-transition code, is proposed for addressing the less-explored problem of designing a biometric-based authentication system by combining the iris and palmprint modalities. The approach is based on the encoding of binary transitions of symmetric and asymmetric parts of the Gabor filtered images at all pixel locations. Score-level fusion is employed to integrate the individual iris and palmprint performances. Experiments are carried out with three benchmark iris/palmprint databases, namely IITD iris and palmprint databases and PolyU palmprint database. The performance is measured in terms of receiver operator characteristics (ROC) curves and other metrics, like equal error rate and area under ROC curves. A comprehensive comparison, with several state-of-the-art approaches, is presented in order to validate the usefulness of the proposed approach.

AB - Multimodal biometric systems provide a way to combat with the limitations of a unimodal biometric system which include less accuracy and user acceptability. In this context, a coding based approach called bit-transition code, is proposed for addressing the less-explored problem of designing a biometric-based authentication system by combining the iris and palmprint modalities. The approach is based on the encoding of binary transitions of symmetric and asymmetric parts of the Gabor filtered images at all pixel locations. Score-level fusion is employed to integrate the individual iris and palmprint performances. Experiments are carried out with three benchmark iris/palmprint databases, namely IITD iris and palmprint databases and PolyU palmprint database. The performance is measured in terms of receiver operator characteristics (ROC) curves and other metrics, like equal error rate and area under ROC curves. A comprehensive comparison, with several state-of-the-art approaches, is presented in order to validate the usefulness of the proposed approach.

KW - Bit-transition code

KW - Iris recognition

KW - Multimodal biometrics

KW - Palmprint recognition

KW - Anthropometry

KW - Database systems

KW - Gabor filters

KW - Image coding

KW - Area under roc curve (AUC)

KW - Biometric-based authentication systems

KW - Comprehensive comparisons

KW - Multi-modal biometrics

KW - Multimodal biometric systems

KW - PolyU Palmprint Database

KW - Receiver operator characteristics curves

KW - State-of-the-art approach

KW - Biometrics

U2 - 10.1007/s12652-021-03190-0

DO - 10.1007/s12652-021-03190-0

M3 - Journal article

VL - 13

SP - 5581

EP - 5589

JO - Journal of Ambient Intelligence and Humanized Computing

JF - Journal of Ambient Intelligence and Humanized Computing

SN - 1868-5137

ER -