Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • JSAP-OSA Joint Symposia 2016 Abstracts
  • (Optica Publishing Group, 2016),
  • paper 13a_C301_6

Finger vein authentication system based on capture of moving images

Not Accessible

Your library or personal account may give you access

Abstract

It is well known that biometric information can provide convenient and reliable user authentication. Recently, the application field of biometric authentication is expanding from small-scale service to wide-scale one such as big event venue, theme park, and so on. In these situations, high-speed calculation and smooth operation are required because of a large number of users. In order to apply finger vein authentication to above services, walkthrough finger vein authentication system [1] has been studied. In our study, we propose a hand waving finger vein authentication system, in which a hand-waving movie is captured with a camera, and a biometric feature is obtained by synthesizing some finger vein patterns extracted from the movie. In this paper, we develop a prototype system of the hand-waving finger vein authentication and evaluate the verification performance of the proposed system.

© 2016 Japan Society of Applied Physics, Optical Society of America

PDF Article
More Like This
Improvement on pattern matching method for hand-waving finger vein authentication

Hiroyuki Suzuki, Hiroki Hayashi, Takashi Obi, Nagaaki Ohyama, and Takashi Komuro
6p_A409_4 JSAP-OSA Joint Symposia (JSAP) 2017

Improvement on finger region extraction for hand-waving finger vein authentication

Hiroyuki Suzuki, Muhammad Arkaan Izhraqi, Jumpei Nagata, Takashi Obi, and Takashi Komuro
18p_E215_9 JSAP-OSA Joint Symposia (JSAP) 2019

SIFT-based finger vein verification using multiple video frames

Hiroyuki Suzuki, Hiroki Hayashi, Takashi Obi, Nagaaki Ohyama, and Takashi Komuro
19p_221B_7 JSAP-OSA Joint Symposia (JSAP) 2018

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.