z-logo
open-access-imgOpen Access
Review of palm vein recognition
Author(s) -
Wu Wei,
Elliott Stephen John,
Lin Sen,
Sun Shenshen,
Tang Yandong
Publication year - 2020
Publication title -
iet biometrics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.434
H-Index - 28
eISSN - 2047-4946
pISSN - 2047-4938
DOI - 10.1049/iet-bmt.2019.0034
Subject(s) - biometrics , palm , computer science , liveness , artificial intelligence , preprocessor , computer vision , physics , quantum mechanics , programming language
As a new research focus in biometrics, palm vein recognition has attracted people's attention because of high security, liveness‐detection, user acceptability and convenience. Palm vein recognition exhibits high security, as it uses the network of blood vessels underneath palm skin for recognition. As palm vein is interior biological information of the body, vein patterns are much harder for intruders to copy compared to other biometric features. Palm vein is mostly invisible to the human eyes; they are commonly captured under near‐infrared light. Under its natural state, the veins of the palm are concealed naturally and, for most of time people's hands are in the gesture of half fist. This study presents a comprehensive overview of recent research progress of palm vein recognition, from the basic background knowledge to data acquisition, public database, preprocessing, feature extraction and matching. In addition, the study focuses on palm vein‐related fusion. Ultimately, the authors discuss the challenges and future perspectives in palm vein recognition for further works.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here