Toward Unconstrained Palmprint Recognition on Consumer Devices: A Literature Review

Adrian Stefan Ungureanu, Saqib Salahuddin, Peter Corcoran

Research output: Contribution to a Journal (Peer & Non Peer)Articlepeer-review

40 Citations (Scopus)

Abstract

As a biometric modality, palmprints have been largely under-utilized, but they offer some advantages over fingerprints and facial biometrics. Recent improvements in imaging capabilities on handheld and wearable consumer devices have re-awakened interest in the use of palmprints. The aim of this paper is to provide a comprehensive review of state-of-the-art methods for palmprint recognition including Region of Interest extraction methods, feature extraction approaches and matching algorithms along with an overview of available palmprint datasets in order to understand the latest trends and research dynamics in the palmprint recognition field.

Original languageEnglish
Article number9085344
Pages (from-to)86130-86148
Number of pages19
JournalIEEE Access
Volume8
DOIs
Publication statusPublished - 2020

Keywords

  • Palmprint acquisition
  • datasets
  • deep learning
  • feature extraction
  • machine learning
  • matching
  • neural network
  • region of interest
  • template detection

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