A Contactless Palmprint Biometric System Based on CNN
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Abstract
Personal recognition systems have emerged as highly important in the information society. Biometric systems are
widely used because its reliability in distinguishing between the subjects. Contactless biometric systems are more important
because of their advantages, especially, during the pandemic of COVID19 as they can be used to avoid the spread of such
viruses. Convolutional neural networks (ConvNet) have also gained a great success in large-scale image. In this study, we try
to produce a contactless biometric system based on palmprint and use of Tungji large-scale contactless dataset to implement
the system. This paper, divided into five sections, starts with the general introduction; a literature review of related work in the
second section; the methodologies and dataset description the third section; the results and implementation steps in the fourth
section; and finally, the conclusion and suggestions in the last section.
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