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 language | English |
|---|---|
| Article number | 9085344 |
| Pages (from-to) | 86130-86148 |
| Number of pages | 19 |
| Journal | IEEE Access |
| Volume | 8 |
| DOIs | |
| Publication status | Published - 2020 |
Keywords
- Palmprint acquisition
- datasets
- deep learning
- feature extraction
- machine learning
- matching
- neural network
- region of interest
- template detection