[1] A. Kamboj, R. Rani, and A. Nigam, “A comprehensive survey and deep learning-based approach for human recognition using ear biometric,” Visual Computer. 2021. doi: 10.1007/s00371-021-02119-0.
[2] K. Nandakumar, A. Ross, and A. K. Jain, “Biometric_fusion_Does_modeling_correlati.pdf.” 2009.
[3] K. Ricanek, P. N. Belhumeur, and T. E. Boult, “must be obtained for all other uses , in any current or future media , including Fusing with Context : a Bayesian Approach to Combining Descriptive Attributes.” 2011.
[4] D. Chang, S. Garg, M. Ghosh, and M. Hasan, “BIOFUSE: A framework for multi-biometric fusion on biocryptosystem level.pdf.” 2020.
[5] K. Saeed et al., “A Novel Extension for e-Safety Initiative Based on Developed Fusion of Biometric Traits.pdf.” 2020.
[6] L. Di Martino, G. Garella, J. Preciozzi, A. Fernandez, F. Lecumberry, and R. G. von Gioi, “An a-contrario Biometric Fusion Approach .pdf.” 2020.
[7] S. K. Choudhary and A. K. Naik, “Multimodal biometric authentication with secured templates – A review,” Proceedings of the International Conference on Trends in Electronics and Informatics, ICOEI 2019, vol. 2019-April. pp. 1062–1069, 2019. doi: 10.1109/icoei.2019.8862563.
[8] M. Singh, R. Singh, and A. Ross, “A comprehensive overview of biometric fusion.pdf.” 2019.
[9] S. Bharadwaj, M. Vatsa, and R. Singh, “Aiding face recognition with social context association rule based re-ranking,” IJCB 2014 - 2014 IEEE/IAPR International Joint Conference on Biometrics. 2014. doi: 10.1109/BTAS.2014.6996266.
[10] R. Singh, M. Vatsa, A. Ross, and A. Noore, “A Mosaicing Scheme for Pose-Invariant Face Recognition.pdf.” 2007.
[11] A. Ross, S. Shah, and J. Shah, “Image versus feature mosaicing: a case study in fingerprints.pdf.” 2006.
[12] A. Ross, R. Govindarajan, and Arun, “Feature level fusion of hand and face biometrics.pdf.” 2005.
[13] D. Yi, Z. Lei, and S. Z. Li, “Shared representation learning for heterogenous face recognition,” 2015 11th IEEE Int. Conf. Work. Autom. Face Gesture Recognition, FG 2015, no. April, 2015, doi: 10.1109/FG.2015.7163093.
[14] N. Poh, J. Kittler, and T. Bourlai, “Improving biometric device interoperability by likelihood ratio-based quality dependent score normalization,” IEEE Conference on Biometrics: Theory, Applications and Systems, BTAS’07. 2007. doi: 10.1109/BTAS.2007.4401964.
[15] K. Veeramachaneni, L. Osadciw, A. Ross, and N. Srinivas, “Decision-level fusion strategies for correlated biometric classifiers,” 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops. 2008. doi:
Vol. xx, No. xx ( 2021 ) ISSN: 2709-6718
10.1109/CVPRW.2008.4563104.
[16] A. J. M. Indovina, U. Uludag, R. Snelick, A. Mink, “Multimodal Biometric Authentication Methods: A COTS Approach M.pdf.” 2003.
[17] F. Shaheen, B. Verma, and M. Asafuddoula, ““Impact of Automatic Feature Extraction in Deep Learning Architecture,” Int. Conf. Digit. Image Comput. Tech. Appl., pp. 1–8, 2016, doi: 10.1109/DICTA.2016.7797053.
[18] J. Schmidhuber, “Deep Learning in neural networks: An overview,” Neural Networks, vol. 61, pp. 85–117, 2015, doi: 10.1016/j.neunet.2014.09.003.
[19] X. SERRA, “Face recognition using Deep Learning,” Polytech. Univ. Catalonia, 2017.
[20] and Y. W. T. G. E. Hinton, S. Osindero, “A fast learning algorithm for deep belief nets,” Neural Comput., 2006.
[21] L. D. and S. Dongmei, “Contactless palmprint recognition based on convolutional neural network,” IEEE 13th Int. Conf. Signal Process., 2016.
[22] L. A. et Al Alzubaidi, “Review of deep learning: concepts, CNN architectures, challenges, applications, future directions,” J. Big Data, vol. 8, no. 1, Dec., 2021, doi: 10.1186/s40537-021-00444-8.
[23] M. Paliwal and U. A. Kumar, “Neural networks and statistical techniques: A review of applications,” Expert Systems with Applications, vol. 36, no. 1. pp. 2–17, 2009. doi: 10.1016/j.eswa.2007.10.005.
[24] N. Alay and H. H. Al-Baity, “Deep Learning Approach for Multimodal Biometric Recognition System Based on Fusion of Iris, Face, and Finger Vein Traits,” Sensors, vol. 20, no. 19, p. 5523, Sep. 2020, doi: 10.3390/s20195523.
[25] M. GARG, A. S. ARORA, and S. GUPTA, “A NOVEL FEATURE BIOMETRIC FUSION APPROACH FOR IRIS, SPEECH AND SIGNATURE MAMTA.Pdf.” 2020.
[26] S. Sengar, U. Hariharan, and K. Rajkumar, “Multimodal Biometric Authentication System using Deep Learning Method Sandeep.pdf.” 2020.
[27] R. Vinothkanna* and A. Wahi, “A multimodal biometric approach for the recognition of finger print, palm print and hand vein using fuzzy vault.pdf.” 2020, 2020.
[28] R. O. Mahmoud, M. M. Selim, and O. A. Muhi, “Fusion Time Reduction of a Feature Level Based Multimodal Biometric Authentication.pdf.” 2020.
[29] xinman zhang, C. Dongxu, P. Jia, D. Yixuan, and X. Xuand, “An Efficient Android-Based Multimodal Biometric Authentication System with Face and Voice.pdf.” 2020.
[30] H. Abderrahmane, G. Noubeil, Z. Lahcene, Z. Akhtar, and D. Dasgupta, “Weighted quasi-arithmetic mean based score level.pdf.” 2020.
[31] M. E. Rane and U. S. Bhadade, “Multimodal score level fusion for recognition using face and palmprint,” International Journal of Electrical Engineering Education. 2020. doi: 10.1177/0020720920929662.
Vol. xx, No. xx ( 2021 ) ISSN: 2709-6718
[32] R. Srivastava, “Score-Level Multimodal Biometric Authentication of Humans Using Retina, Fingerprint, and Fingervein,” International Journal of Applied Evolutionary Computation, vol. 11, no. 3. pp. 20–30, 2020. doi: 10.4018/ijaec.2020070102.
[33] D. V. R. Devi and K. N. Rao, “Decision level fusion schemes for a Multimodal Biometric System using local and global wavelet features.pdf.” 2020.
[34] O. N. Iloanusi and U. C. Ejiogu, “Gender classification from fused multi-fingerprint types,” Information Security Journal, vol. 29, no. 5. pp. 209–219, 2020. doi: 10.1080/19393555.2020.1741742.
[35] C. Zhou, J. Huang, F. Yang, and Y. Liu, “A hybrid fusion model of iris, palm vein and finger vein for multi-biometric recognition system,” Multimedia Tools and Applications, vol. 79, no. 39–40. pp. 29021–29042, 2020. doi: 10.1007/s11042-020-08914-6.
[36] M. S. Wajid, S. G. Kumar, N. Baishwar, A. Singh, and P. Verma, “Palm and Fingerprint Based Multimodal Biometric Technique.pdf.” 2020.
[37] A. K. Yadav, “Deep Learning Approach for Multimodal Biometric Recognition System Based on Fusion of Iris, Fingerprint and Hand Written Signature Traits.Pdf.” 2021.
[38] C. Kamlaskar and and A. Abhyankar, “Iris-Fingerprint multimodal biometric system based on optimal feature level fusion model.pdf.” AIMS Electronics and Electrical Engineering, 5(4): 229–250., 2021.
[39] T. Kumar, S. Bhushan, and S. Jangra, “An Improved Biometric Fusion System of Fingerprint and Face using Whale Optimization .Pdf.” 2021.
[40] T. Vijayakumar, “Synthesis of Palm Print in Feature Fusion Techniques for Multimodal Biometric Recognition System Online Signature,” J. Innov. Image Process., vol. 3, no. 2, pp. 131–143, 2021, doi: 10.36548/jiip.2021.2.005.
[41] B. Arjun and H. N. Prakash, “Multimodal Biometric Recognition System Using Face and Finger Vein Biometric Traits with Feature and Decision Level Fusion Techniques.pdf.” 2021.
[42] Channegowda a. b. and H. N. Prakash, “Multimodal biometrics of fingerprint and signature recognition using multi-level feature fusion and deep learnin... Indonesian.pdf.” 2021.
[43] P. P. Sarangi, D. R. Nayak, M. Panda, and B. Majhi, “A feature-level fusion based improved multimodal biometric recognition system using ear and profile face,” Journal of Ambient Intelligence and Humanized Computing, vol. 13, no. 4. pp. 1867–1898, 2021. doi: 10.1007/s12652-021-02952-0.
[44] H. Purohit and P. K. Ajmera, “Optimal feature level fusion for secured human authentication in multimodal biometric system,” Machine Vision and Applications, vol. 32, no. 1. 2021. doi: 10.1007/s00138-020-01146-6.
[45] G. Jaswal and R. C. Poonia, “Selection of optimized features for fusion of palm print and finger knuckle-based person authentication,” Expert Systems, vol. 38, no. 1. 2021. doi: 10.1111/exsy.12523.
[46] S. Tharewal et al., “Score-Level Fusion of 3D Face and 3D Ear for Multimodal Biometric
Vol. xx, No. xx ( 2021 ) ISSN: 2709-6718
Human Recognition Sumegh.pdf.” 2022.
[47] B. O. Mohammed, H. D. Majeed, S. Z. M. Hashim, and M. S. Al-Ani, “New Feature-level Algorithm for a Face-fingerprint Integral Multi- biometrics Identification System.pdf.” 2022.
[48] A. A. Joseph et al., “Person Verification Based on Multimodal Biometric Recognition Annie.pdf.” 2022.
[49] & S. Banati, U., Prakash, V., Verma, R., Soft Biometrics and Deep Learning: Detecting Facial Soft Biometrics Features Using Ocular and Forehead Region for Masked Face Images. 2022.