Abstract
In this paper our main focus is to discover different machine learning techniques that are useful biometric System. As biometric authentication system is a combination of both image processing and pattern recognition, in this classification of pattern is a difficult task. Machine learning have number of algorithm that makes classification task easy. Machine learning is divided as supervised as well as unsupervised learning. In unsupervised learning the machine construct representation of input by getting inputs x1, x2, x3, …, and this is used for decision making, predicting future inputs or we say unsupervised learning finds patterns in the data and mainly solve clustering problem. In supervised learning set of output is already given, only we have to find this set of output from respective input value. In this paper we also discuss the area of machine learning where already work has done for biometric.
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Gunjan, V.K., Prasad, P.S., Pathak, R., Kumar, A. (2020). Machine Learning Methods for Extraction and Classification for Biometric Authentication. In: Kumar, A., Paprzycki, M., Gunjan, V. (eds) ICDSMLA 2019. Lecture Notes in Electrical Engineering, vol 601. Springer, Singapore. https://doi.org/10.1007/978-981-15-1420-3_203
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DOI: https://doi.org/10.1007/978-981-15-1420-3_203
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