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Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
}
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 -