An improved local pattern descriptor for biometrics face encoding: a LC–LBP approach toward face identification-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

An improved local pattern descriptor for biometrics face encoding: a LC–LBP approach toward face identification

Published:2016-12-11 Issue:1 Volume:40 Page:82-92
ISSN:0253-3839
Container-title:Journal of the Chinese Institute of Engineers
language:en
Short-container-title:Journal of the Chinese Institute of Engineers

Author:

Datta Rakshit Rinku¹,Nath Subhas Chandra²,Kisku Dakshina Ranjan³

Affiliation:

1. Department of Information Technology, Asansol Engineering College, Asansol, India

2. Department of Computer Applications, Asansol Engineering College, Asansol, India

3. Department of Computer Science and Engineering, National Institute of Technology Durgapur, Durgapur, India

Funder

PDA fund of NIT Durgapur

Faculty Fund of Asansol Engineering College

Publisher

Informa UK Limited

Subject

General Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/02533839.2016.1259020

Reference25 articles.

1. Steerable pyramid transform and local binary pattern based robust face recognition for e-health secured login

2. A novel phase-intensive local pattern for periocular recognition under visible spectrum

3. Phase Intensive Global Pattern for periocular recognition

4. Improved sum-of-squared-differences tracking algorithm for thermal vision systems

5. Local Binary Patterns: New Variants and Applications

Cited by 20 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. A comparative study on facial image retrieval using local patterns;Multimedia Tools and Applications;2024-02-05

2. ETLBP and ERDLBP descriptors for efficient facial image retrieval in CBIR systems;Multimedia Tools and Applications;2023-06-27

3. MVM-LBP : mean−variance−median based LBP for face recognition;International Journal of Information Technology;2023-03

4. Threshold center-symmetric local binary convolutional neural networks for bilingual handwritten digit recognition;Knowledge-Based Systems;2023-01

5. Tropical Cyclones Intensity Estimation by Feature Fusion and Random Forest Classifier Using Satellite Images;Journal of the Indian Society of Remote Sensing;2022-01-03

同舟云学术

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