Identity authentication on mobile devices using face verification and ID image recognition

Xing Wu*, Jianxing Xu, Jianjia Wang, Yufeng Li, Weimin Li, Yike Guo

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

15 Citations (Scopus)

Abstract

Identity authentication is of great importance in the digital age where ID information is commonly used in finance, insurance, transportation and other fields. Challenges of identity authentication lie in the verification of the ID card provided by the user and the information extraction from the user's ID card. To meet the challenge, an identity authentication framework is proposed, which can extract and verify personal information through face verification and ID image recognition. The identity authentication is realized by the proposed face verification model which is called Inception-ResNet Face Embedding (IRFE). IRFE uses an Inception-ResNet structure to ensure a good feature extraction aiming at accurate face verification. Moreover, a robust ID card extraction method named Morphology Transformed Feature Mapping (MTFM) is proposed to extract ID information. Experimental results demonstrate that the proposed IRFE and MTFM outperform state-of-the-art methods both in face verification and in ID extraction.

Original languageEnglish
Pages (from-to)932-939
Number of pages8
JournalProcedia Computer Science
Volume162
DOIs
Publication statusPublished - 2019
Externally publishedYes
Event7th International Conference on Information Technology and Quantitative Management, ITQM 2019 - Granada, Spain
Duration: 3 Nov 20196 Nov 2019

Keywords

  • Biometrics
  • Face Verification
  • ID Card
  • Object Detection
  • Text Extration

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