移动设备生物特征识别多模态融合标准研究及展望

林冠辰; 王智飞

doi:10.11959/j.issn.1000-0801.2021007

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移动设备生物特征识别多模态融合标准研究及展望

综述 | 更新时间：2024-06-05

- 移动设备生物特征识别多模态融合标准研究及展望
- Research and prospect of standard for biometric multi-modal fusion used with mobile devices
- 电信科学 2021年37卷第1期页码：32-38
- 作者机构：
  
  1. 蚂蚁科技集团股份有限公司，北京 100004
  2. 人力资源和社会保障部信息中心，北京 100013
- 作者简介：
  
  [ "林冠辰（1984- ），男，蚂蚁科技集团股份有限公司高级工程师，主要研究方向为生物特征识别多模态融合、人脸识别防假体攻击、AI高阶对抗模型等。" ]
  [ "王智飞（1984- ），男，博士，人力资源和社会保障部信息中心高级工程师，主要研究方向为低分辨率人脸识别、鲁棒表情识别、多模态生物特征识别、场景分析及智能视觉感知等。" ]
- 基金信息：
  
  国家重点研发计划基金资助项目;The National Key R＆D Program of China(2018YFF0213004)
- DOI：10.11959/j.issn.1000-0801.2021007
  中图分类号： TP393
- 网络出版日期：2021-01，
  
  纸质出版日期：2021-01-20
- 稿件说明：
移动端阅览
林冠辰, 王智飞. 移动设备生物特征识别多模态融合标准研究及展望[J]. 电信科学, 2021,37(1):32-38.

Guanchen LIN, Zhifei WANG. Research and prospect of standard for biometric multi-modal fusion used with mobile devices[J]. Telecommunications science, 2021, 37(1): 32-38.
林冠辰, 王智飞. 移动设备生物特征识别多模态融合标准研究及展望[J]. 电信科学, 2021,37(1):32-38. DOI： 10.11959/j.issn.1000-0801.2021007.

Guanchen LIN, Zhifei WANG. Research and prospect of standard for biometric multi-modal fusion used with mobile devices[J]. Telecommunications science, 2021, 37(1): 32-38. DOI： 10.11959/j.issn.1000-0801.2021007.

摘要

针对用于移动设备的生物特征识别多模态融合技术框架不统一以及标准缺失的问题，提出了多模态融合的分类、层级以及标准统一技术框架。首先分析国内外与移动设备生物特征识别相关的标准化现状；其次研究移动设备生物特征识别标准的本地识别以及远程识别应用模式，分析提出多特征、多算法、多实例、多传感器4种多模态融合分类方法，研究并提出样本级融合、特征级融合、分数级融合和决策级融合4种多模态融合的层级，并且提出用于移动设备的生物特征识别多模态融合标准技术框架；最后对移动设备生物特征识别多模态融合技术应用进行展望。

Abstract

Aiming at the problem of inconsistent biometric multi-modal fusion technology framework for mobile devices and lack of standards

a unified technical framework of multi-modal fusion standards was proposed.Firstly

the current status of standardization related to biometric used with mobile device was analyzed.Secondly

the local recognition and remote recognition application modes of mobile device biometrics standards were studied

and then four sub-multimodal fusion classification methods of multi-feature

multi-algorithm

multi-instance

and multi-sensor were analyzed and proposed.Then

four levels of multi-modal fusion were researched and proposed: sample-level fusion

feature-level fusion

score-level fusion

and decision-level fusion

and a standard technical framework for biometric multi-modal fusion for mobile devices was proposed.Finally

prospects for the application of biometric multi-modal fusion technology were given.

关键词

Keywords

references

中国支付清算协会 . 2019中国支付清算行业社会责任报告 [R ] . 2019 .

China Association for Payment and Clearing . 2019 social responsibility report of payment and clearing industry in China [R ] . 2019 .

KHELLAT-KIHELAB S , ABRISHAMBAFC R , MONTEIROB J L , et al . Multimodal fusion of the finger vein,fingerprint and the finger-knuckle-print using Kernel Fisher analysis [S ] . Applied Soft Computing , 2016 , 42 ( 5 ): 439 - 447 .

WANG Y , TAN T , JAIN A K . Combining face and iris biometrics for identity verification [C ] // Proceedings of Fourth International Conference on Audio and Video-Based Biometric Person Authentication .[S.l.:s.n. ] , 2003 : 805 - 813 .

BIGUN J , FIERREZ-AGUILAR J , ORTEGA-GARCIA J , et al . Multimodal biometric authentication using quality signals in mobile communications [C ] // Proceedings of 12th International Conference on Image Analysis and Processing .[S.l.:s.n. ] , 2003 : 2 - 11 .

CHANG K , BOWYER K W , SARKAR S , et al . Comparison and combination of ear and face images in appearance-based biometrics [J ] . IEEE Transactions on Pattern Analysis and Machine Intelligence , 2003 , 25 ( 9 ): 1160 - 1165 .

DAMER N , FÜHRER J B , KUIJPER A . Missing data estimation in multi-biometric identification and verification [C ] // Proceedings of IEEE Workshop on Biometric Measurements and Systems for Security and Medical Applications:BioMS 2013 . Piscataway:IEEE Press , 2003 : 41 - 45 .

JAIN A K , NANDAKUMAR K , ROSS A . Score normalization in multimodal biometric systems [J ] . Pattern Recognition , 2005 , 38 ( 12, ): 2270 - 2285 .

JAIN A K , ROSS A . Learning user-specific parameters in a multibiometric system [C ] // Proceedings of.International Conference on Image Processing .[S.l.:s.n. ] , 2002 :I-57-I-60.

JAIN A K , ROSS A . Multibiometric systems [J ] . Communications of the ACM,Special Issue on Multimodal Interfaces , 2004 , 47 ( 1 ): 34 - 40 .

SHAO G F , LI Z S , CHENG W , et al . Fusion image quality evaluation method based on human perception [J ] . Computer Applications , 2004 , 24 ( 5 ): 69 - 71 .

VHADURI S , POELLABAUER C . Summary:multi-modal biometric-based implicit authentication of wearable device users [J ] . IEEE Transactions on Information Forensics and Security , 2019 , 14 ( 12 ): 3116 - 3225 .

ZHANG X M , CHENG D X , DAI Y X , et al . Multimodal biometric authentication system for smartphone based on face and voice using matching level fusion [C ] // Proceedings of 2018 IEEE 4th International Conference on Computer and Communications . Piscataway:IEEE Press , 2018 : 1468 - 1472 .

REGOUID M , TOUAHRIA M , BENOUIS M , et al . Multimodal biometric system for ECG,ear and iris recognition based on local descriptors [J ] . Multimedia Tools and Applications , 2019 ( 4 ): 22509 - 22535 .

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