+

Bazrafkan et al., 2016 - Google Patents

Finger vein biometric: Smartphone footprint prototype with vein map extraction using computational imaging techniques

Bazrafkan et al., 2016

View PDF
Document ID
549004177583202517
Author
Bazrafkan S
Nedelcu T
Costache C
Corcoran P
Publication year
Publication venue
2016 IEEE International Conference on Consumer Electronics (ICCE)

External Links

Snippet

A new vein structure based biometric approach is introduced in this paper. The idea is to use the finger vein structure in the intermediate phalange to identify or authenticate individuals. The concept of the hardware is to be implementable in handheld devices. Hardware …
Continue reading at drive.google.com (PDF) (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/00006Acquiring or recognising fingerprints or palmprints
    • G06K9/00067Preprocessing; Feature extraction (minutiae)
    • G06K9/00073Extracting features related to minutiae and pores

Similar Documents

Publication Publication Date Title
US10657351B2 (en) Image processing apparatus
JP2017533517A (en) Production of fingerprint authentication template
Ungureanu et al. Unconstrained palmprint as a smartphone biometric
Garg et al. Biometric authentication using finger nail surface
Bazrafkan et al. Finger vein biometric: Smartphone footprint prototype with vein map extraction using computational imaging techniques
Ali et al. Enhanced fingerprint shell
Srivastava Personal identification using iris recognition system, a review
Pal et al. Implementation of hand vein structure authentication based system
Debiasi et al. Near-infrared illumination add-on for mobile hand-vein acquisition
Zhang et al. Deep learning for finger vein recognition: A brief survey of recent trend
Ting et al. A review of finger vein recognition system
Parthiban et al. Finger vein extraction and authentication based on gradient feature selection algorithm
Cheng et al. Multiple training stage image enhancement enrolled with ccrgan pseudo templates for large area dry fingerprint recognition
Rossan et al. Impact of changing parameters when preprocessing dorsal hand vein pattern
Wang et al. Feature-level fusion of palmprint and palm vein for person identification based on a “junction point” representation
Tiong et al. Multimodal face biometrics by using convolutional neural networks
Swati et al. Iris recognition using Gabor
Ungureanu et al. Palm print as a smartphone biometric: Another option for digital privacy and security
Yu et al. A novel finger vein pattern extraction approach for near-infrared image
Janes et al. A low cost system for Dorsal hand vein patterns recognition using curvelets
Li et al. Iris recognition on mobile devices using near-infrared images
Wang et al. An anti-fake iris authentication mechanism for smart glasses
Kashyap et al. Accurate Personal Identification Using Left and Right Palmprint Images Based on ANFIS Approach
Nitesh et al. Finger-knuckle-print: a biometric identifier
Athira et al. An innovative and effective approach for sclera detection
点击 这是indexloc提供的php浏览器服务,不要输入任何密码和下载