A Contactless Palmprint Biometric System Based on CNN
Ebrahim A. M. Alrahawe, Vikas T. Humbe, Ganeshchandra N. Shinde · Turkish Journal of Computer and Mathematics Education (TURCOMAT) · 2021
Personal recognition systems have emerged as highly important in the information society. Biometric systems arewidely used because its reliability in distinguishing between the subjects. Contactless biometric systems are more importantbecause of their advantages, especially, during the pandemic of COVID19 as they can be used to avoid the spread of suchviruses. Convolutional neural networks (ConvNet) have also gained a great success in large-scale image. In this study, we tryto produce a contactless biometric system based on palmprint and use of Tungji large-scale contactless dataset to implementthe system. This paper, divided into five sections, starts with the general introduction; a literature review of related work in thesecond section; the methodologies and dataset description the third section; the results and implementation steps in the fourthsection; and finally, the conclusion and suggestions in the last section.