A Novel Hybrid Fusion Combining Palmprint and Palm Vein for Large-Scale Palm-Based Recognition

棕榈 掌纹 人工智能 模式识别(心理学) 比例(比率) 计算机科学 融合 生物识别 地理 物理 地图学 语言学 哲学 量子力学
作者
Dandan Fan,Liang Xu,Wei Jia,Junan Chen,David Zhang
出处
期刊:IEEE transactions on systems, man, and cybernetics [Institute of Electrical and Electronics Engineers]
卷期号:54 (7): 4471-4484
标识
DOI:10.1109/tsmc.2024.3382877
摘要

Palmprint and palm vein are emerging as unique biometric traits for identity authentication, each with its own advantages and limitations. Using these two traits jointly promises to enhance the discriminative and anti-spoofing capabilities. While existing research often combines these traits in parallel, such approaches lead to unnecessary increase in response time. Moreover, large-scale palm-based recognition, as a great potential task, raises higher requirements in accuracy and time efficiency. Nevertheless, few efforts have been dedicated to either data establishment or method investigation for this task. To this end, a large-scale palm-based multimodal dataset covering $ 20\,000 $ palms is proposed, far larger than any of its kind. We also propose a hybrid fusion method to leverage these two diverse features. Our method employs a two-stage recognition process. First, a dual likelihood ratio test for coarse recognition is designed to assign palms into imposter certainty, genuine certainty or uncertainty classes. The coarse recognition narrows down the number of possible identities accurately using one trait, palm vein, consuming less recognition time. Then, in fine recognition, an adaptive weighted fusion of palmprint and palm vein is proposed to delicately rerecognize the uncertainty subsets that are in doubt in the coarse recognition, resulting in a more discriminative capacities. Experimental results confirm the effectiveness of our method, showing improved recognition performance with high-time efficiency.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
乒乒乓乓完成签到 ,获得积分10
刚刚
yian007完成签到,获得积分10
1秒前
huan驳回了dypdyp应助
1秒前
Tuniverse_完成签到,获得积分10
1秒前
afrex完成签到,获得积分10
1秒前
1秒前
身体健康完成签到,获得积分10
2秒前
3秒前
量子星尘发布了新的文献求助10
3秒前
3秒前
4秒前
聪明的傲白完成签到,获得积分10
5秒前
赘婿应助爆螺钉采纳,获得10
5秒前
yyy完成签到,获得积分10
6秒前
亚当完成签到 ,获得积分10
6秒前
传奇3应助Babe1934采纳,获得10
6秒前
6秒前
陈博文发布了新的文献求助10
6秒前
来日方长发布了新的文献求助30
6秒前
孟庆磊发布了新的文献求助10
6秒前
子虞发布了新的文献求助10
7秒前
玉洁完成签到,获得积分10
7秒前
7秒前
7秒前
o30发布了新的文献求助10
8秒前
8秒前
9秒前
天行者完成签到,获得积分20
9秒前
peterlzb1234567完成签到,获得积分10
10秒前
俊逸的篮球完成签到,获得积分10
10秒前
灯火完成签到,获得积分10
10秒前
liman发布了新的文献求助10
11秒前
11秒前
11秒前
11秒前
开放鸵鸟发布了新的文献求助10
12秒前
12秒前
123发布了新的文献求助10
12秒前
13秒前
重要寻琴完成签到 ,获得积分10
13秒前
高分求助中
A new approach to the extrapolation of accelerated life test data 1000
Cognitive Neuroscience: The Biology of the Mind 1000
Technical Brochure TB 814: LPIT applications in HV gas insulated switchgear 1000
ACSM’s Guidelines for Exercise Testing and Prescription, 12th edition 500
Picture Books with Same-sex Parented Families: Unintentional Censorship 500
Nucleophilic substitution in azasydnone-modified dinitroanisoles 500
不知道标题是什么 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 3969094
求助须知:如何正确求助?哪些是违规求助? 3514055
关于积分的说明 11171564
捐赠科研通 3249344
什么是DOI,文献DOI怎么找? 1794799
邀请新用户注册赠送积分活动 875377
科研通“疑难数据库(出版商)”最低求助积分说明 804779