Biometric authentication based on the pattern of the inner side of a human hand

Authors: Desyatov A.G., Sidorkin A.D., Panchekhin N.I.
Published in issue: #12(77)/2022
DOI: 10.18698/2541-8009-2022-12-844
Category: Informatics, Computer Engineering and Control | Chapter: Methods and Systems of Information Protection, Information Security
Keywords: biometrics, authentication, papillary lines, palm, deep learning, artificial neural network, Python, OpenCV, TensorFlow, webcam, data set
Published: 22.12.2022

Biometric authentication based on the pattern of the inner side of a human hand is used quite rarely. To confirm the significance of this method, this paper first lists its advantages compared to other methods of authentication based on other physiological data of the human hand. A practical way to recognize the palm on the image is considered. The construction of an artificial neural network model for biometric authentication is also described in detail, including a breakdown of the different layers it uses. After applying this deep learning model, the results are analyzed and presented in graphs. Then the experiments carried out with this model are described based on changes of different hyperparameters of the model.

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