Abstract
Biometrics is a study of physiological and behavioral characteristics of a person for the purpose of verification. There is an increase in number of biometric traits involved in biometric authentication system depending on the application and the demand in the market. Each modality has its own advantages and disadvantages, and no method is able to satisfy the security needs in completeness. Therefore, there is a continuous effort to look for novel and emerging modalities that are able to provide high security, robust, and also cost-effective. This paper presents some of the novel biometric modalities.
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References
S.M. Darwish, Design of adaptive biometric gait recognition algorithm with free walking directions. IET Biom. 6(2), 53–60 (2016)
Y. Zhang, M. Juhola, On biometrics with eye movements. IEEE J. Biomed. Health Inf., pp. 99 (2016)
A. Bhuiyan, A. Hussain, A. Mian, T.Y. Wong, K. Ramamohanarao, Y. Kanagasingam, Biometric authentication system using retinal vessel pattern and geometric hashing. IET Biom. 6(2), 79–88 (2016)
O. Makul, M. Ekinci, Palm and palm finger joint surfaces based multibiometric approach, in Proceedings—International Conference on Telecommunications and Signal Processing, pp. 665–668 (2016)
G. Gautam, K. Kumar, Biometric system from heart sound using wavelet based feature set, in Proceedings of International Conference on Communication and Signal Processing IEEE, pp. 551–555 (2013)
W.M. Rahman, M. Gavrilova, Overt mental stimuli of brain signal for person identification, in Proceedings of International Conference on Cyberworlds, pp. 197–203 (2016)
P.S. Tankasala, P. Doynov, S. Chrihalmeanu, R. Derakhshani, Ocular surface vasculature recognition using curvelet transform. IET Biom. 6(2), 97–107 (2016)
S.D. Raut, V.T. Humbe, A novel approach for palm vein feature extraction using Gabor and canny edge detector, in Proceedings of IEEE International Conference on Computational Intelligence and Computing Research, pp. 1–4 (2015)
M. Hofer, A.N. Maranara, Dental biometrics: human identification based on dental work information, in IEEE Proceedings of the XX Brazalian Symposium on Computer Graphics and Image Processing, pp. 288–286 (2007)
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Kour, J., Katiyar, A., Katiyar, G. (2019). Novel Biometric Modalities. In: Singh, S., Wen, F., Jain, M. (eds) Advances in System Optimization and Control. Lecture Notes in Electrical Engineering, vol 509. Springer, Singapore. https://doi.org/10.1007/978-981-13-0665-5_17
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DOI: https://doi.org/10.1007/978-981-13-0665-5_17
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