Footprint Identification using Deep Learning

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dc.contributor.authorKeatsamarn, Tanapon
dc.contributor.authorPintavirooj, Chuchart
dc.date.accessioned2026-08-06T10:23:56Z
dc.date.available2026-08-06T10:23:56Z
dc.date.issued2019-01-10
dc.description.abstractHuman footprint is the biometric system of the individual person. Everyone has specific footprints. It can be used instead of password-based authentication in the security system such as a user authentication for the financial transaction. The password-based system cannot verify that the person who entered the password is valid or not. Therefore the biometric system is more secure than the password-based system. For that reason, it's interesting to use footprint image in the creating of the footprint-based identification system. In this paper, the convolutional neural network training is used for deep learning classification. Convolutional neural networks are essential for deep learning and suited for image recognition.
dc.identifier.citationBmeicon 2018 11th Biomedical Engineering International Conference, 2019
dc.identifier.doi10.1109/BMEiCON.2018.8609926
dc.identifier.other2-s2.0-85062064480
dc.identifier.urihttps://dspace.kmitl.ac.th/handle/123456789/9695
dc.sourceBmeicon 2018 11th Biomedical Engineering International Conference
dc.subjectBiometric
dc.subjectDeep learning
dc.subjectFootprint
dc.titleFootprint Identification using Deep Learning
dc.typeConference Paper

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