Biometrics is a term which is used to identify the person by using their body characteristics. This paper describes a method to recognize and identify the persons by their gait cycle. This paper focuses on identifying a human by using neural network which is used to train the dataset. In order to identify an individual, various algorithms are used like background subtraction, frame differencing etc. Human identification is an increasing approach for a security reason and promising technology for military services, banks and colleges. Gait is the new biometric authorization system which does not need to contact any device for authentication. This is the promising research area because it is difficult to hide.
CITATION STYLE
Kathale, S. N., & Solaskar, S. (2020). A Method for Identifying Human by Using Gait Cycle. In Lecture Notes on Data Engineering and Communications Technologies (Vol. 33, pp. 655–666). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-28364-3_68
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