TELKOMNIKA Telecommunication, Computing, Electronics and Control
Palm print verification based deep learning

TELKOMNIKA Telecommunication, Computing, Electronics and Control
Palm print verification based deep learning

Deep learning
Palm print
Pattern recognition

In this paper, we consider a palm print characteristic which has taken wide
attentions in recent studies. We focused on palm print verification problem by
designing a deep network called a palm convolutional neural network (PCNN).
This network is adapted to deal with two-dimensional palm print images. It is
carefully designed and implemented for palm print data. Palm prints from the
Hong Kong Polytechnic University Contact-free (PolyUC) 3D/2D hand
images dataset are applied and evaluated. The results have reached the
accuracy of 97.67%, this performance is superior and it shows that our
proposed method is efficient.

Lubab H. Albak, Raid Rafi Omar Al-Nima, Arwa Hamid Salih

http://journal.uad.ac.id/index.php/TELKOMNIKA

Oct 23, 2020

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