Abstract
In the last decade secure access entrance system is a critical problem in between researchers. Single model-based biometric credentials entrance system face many lack of access failures. There failures are over come in multi model secure access system in which use more than one biometric system such as finger print as well as iris or finger print as well as face recognition. In this proposed work presented a secure access entrance multi model that is based on two biometric credentials iris as well as finger print. For the simulation of proposed method use matrix laboratory (R2018b). Simulations indicate proposed multi model biometric internee system perform better as compare to single model entrance system. The proposed method compare the performance in terms of accuracy.
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Yadav, P., Chaurasia, N., Gola, K.K., Semwan, V.B., Gomasta, R., Dubey, S. (2023). A Robust Secure Access Entrance Method Based on Multi Model Biometric Credentials Iris and Finger Print. In: Doriya, R., Soni, B., Shukla, A., Gao, XZ. (eds) Machine Learning, Image Processing, Network Security and Data Sciences. Lecture Notes in Electrical Engineering, vol 946. Springer, Singapore. https://doi.org/10.1007/978-981-19-5868-7_24
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DOI: https://doi.org/10.1007/978-981-19-5868-7_24
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