Finger knuckle print recognition for personal authentication based on relaxed local ternary pattern in an effective learning framework
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,Computer Vision and Pattern Recognition,Hardware and Architecture,Software
Link
https://link.springer.com/content/pdf/10.1007/s00138-021-01178-6.pdf
Reference49 articles.
1. Usha, K., Ezhilarasan, M.: Finger knuckle biometrics–a review. Comput. Elect. Eng. 45, 249–259 (2015)
2. Zhang, L., Zhaang, L., Zhang, D.: Monogenic code: a novel fast feature coding algorithm with applications to finger-knuckle-print recognition. IEEE International Workshop on Emerging Techniques and Challenges for Hand-Based Biometrics (ETCHB), 2010, pp. 1–4.
3. Jaswal, G., Kaul, A., Nath, R.: Knuckle print biometrics and fusion schemes overview, challenges, and solutions. ACM Comput. Surv. 49(2), 1–46 (2016)
4. Kumar, A., Ravikanth, C.: Personal authentication using finger knuckle surface. IEEE Trans. Inform. Foren. Sec. 4(1), 98–110 (2009)
5. Sadik M. A., Al-Berry M. N., Roushdy M.: A survey on the finger knuckle prints biometric. In: Eighth International Conference on Intelligent Computing and Information Systems (ICICIS), pp. 197–204 (2017)
Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Joint multi-type feature learning for multi-modality FKP recognition;Engineering Applications of Artificial Intelligence;2023-11
2. Contactless Hand Knuckle Modality for Identity Verification Using Siamese Network;2023 International Conference on Cyberworlds (CW);2023-10-03
3. Multimodal biometric identification based on overlapped fingerprints, palm prints, and finger knuckles using BM-KMA and CS-RBFNN techniques in forensic applications;The Visual Computer;2023-08-12
4. Person identification from fingernails and knuckles images using deep learning features and the Bray-Curtis similarity measure;Neurocomputing;2022-11
5. A Multi-modal Biometric Approach Based on Score-level Fusion and Fine-tuning Deep Learning Features;2022 IEEE 11th International Conference on Intelligent Systems (IS);2022-10-12
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3