An Identity Authentication Method Based on Multi-modal Feature Fusion

5Citations
Citations of this article
7Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

At present, many judicial organs have adopted the daily attendance system based on face recognition to strengthen the supervision of community correction personnels. In order to prevent a few personnels from using pre-prepared photos and videos to deceive the face recognition system, this paper proposes an identity verification scheme with liveness detection based on dynamic combination of multimodal features. The main idea is as follows. Firstly, during face verification, the user is required to read out random numbers on the screen. Secondly, generating dynamic combination of speech, voiceprint, lip-reading and other verification methods according to the user's risk personas, so as to achieve a balance between convenience and security. In addition, in view of the low accuracy of lip-reading recognition in practice, this paper changes the traditional lip-reading recognition based on morpheme to lip-reading recognition based on classifier. By optimizing the interactive content, the distinction of pronunciation between different Chinese characters is increased, and the accuracy of lip-reading recognition is significantly improved.

References Powered by Scopus

Deep residual learning for image recognition

163463Citations
N/AReaders
Get full text

ImageNet classification with deep convolutional neural networks

21535Citations
N/AReaders
Get full text

The application of hidden Markov Models in speech recognition

511Citations
N/AReaders
Get full text

Cited by Powered by Scopus

Data-Driven Advancements in Lip Motion Analysis: A Review

1Citations
N/AReaders
Get full text

Automated Dataset Collection Pipeline for Lip Motion Authentication

1Citations
N/AReaders
Get full text

An efficient face recognition attack method based on generative adversarial networks and cosine metrics

1Citations
N/AReaders
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Chen, J., Cai, L., Tu, Y., Dong, R., An, D., & Zhang, B. (2021). An Identity Authentication Method Based on Multi-modal Feature Fusion. In Journal of Physics: Conference Series (Vol. 1883). IOP Publishing Ltd. https://doi.org/10.1088/1742-6596/1883/1/012060

Readers' Seniority

Tooltip

Lecturer / Post doc 1

50%

PhD / Post grad / Masters / Doc 1

50%

Readers' Discipline

Tooltip

Computer Science 1

33%

Materials Science 1

33%

Psychology 1

33%

Save time finding and organizing research with Mendeley

Sign up for free