Design and Image Enhancement Research of an Embedded Finger Vein Imaging Acquisition System

Finger vein recognition technology has attracted widespread attention in the field of biometrics due to its high security and reliability in recent years. The key of finger vein recognition is the acquisition of finger vein image. Focusing on this issue, an embedded finger vein imaging acquisition system is designed for convenient identification, which is of good cost-performance ratio and strong real-time capability. The system uses the STM32F407ZGT6 as the main control chip and captures the infrared light illuminated by the finger vein through the OV2640 module for imaging. The collected finger vein images are then transmitted to the PC in real-time via USB communication. However, considering the uneven absorption of near-infrared light by the finger joint structure, which leads to issues such as uneven illumination, low contrast, and blurred edge details in the images, this study conducted research on image enhancement, such as image preprocessing and edge extraction, to facilitate the establishment of subsequent high-quality recognition model.

Authors

Institutions

Publication Details

Published
2024-10-11
DOI
https://doi.org/10.1109/icceic64099.2024.10775903
Primary Topic
Advanced Computing and Algorithms
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Design and Image Enhancement Research of an Embedded Finger Vein Imaging Acquisition System

Zhengwen Huang, Lili Cai, Keke Hou, Jinsong Zou et al.
Advanced Computing and Algorithms
article

Design and Image Enhancement Research of an Embedded Finger Vein Imaging Acquisition System

Zhengwen Huang, Lili Cai, Keke Hou, Jinsong Zou, Yingqin Liang, Jinke Cai
article en

Abstract

Finger vein recognition technology has attracted widespread attention in the field of biometrics due to its high security and reliability in recent years. The key of finger vein recognition is the acquisition of finger vein image. Focusing on this issue, an embedded finger vein imaging acquisition system is designed for convenient identification, which is of good cost-performance ratio and strong real-time capability. The system uses the STM32F407ZGT6 as the main control chip and captures the infrared light illuminated by the finger vein through the OV2640 module for imaging. The collected finger vein images are then transmitted to the PC in real-time via USB communication. However, considering the uneven absorption of near-infrared light by the finger joint structure, which leads to issues such as uneven illumination, low contrast, and blurred edge details in the images, this study conducted research on image enhancement, such as image preprocessing and edge extraction, to facilitate the establishment of subsequent high-quality recognition model.

Anhui Xinhua University (CN), Guangzhou Xinhua University
Industry, innovation and infrastructure
Openalex Percentile: Top 62%
Advanced Computing and Algorithms
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.