Realtime face verification with lightweight convolutional neural networks

Nhan Dam, Vinh Tiep Nguyen, Minh N. Do, Anh Duc Duong, Minh Triet Tran

Research output: Chapter in Book/Report/Conference proceedingConference contribution


Face verification is a promising method for user authentication. Besides existing methods with deep convolutional neural networks to handle millions of people using powerful computing systems, the authors aim to propose an alternative approach of a lightweight scheme of convolutional neural networks (CNN) for face verification in realtime. Our goal is to propose a simple yet efficient method for face verification that can be deployed on regular commodity computers for individuals or small-to-medium organizations without super-computing strength. The proposed scheme targets unconstrained face verification, a typical scenario in reality. Experimental results on original data of Labeled Faces in the Wild dataset show that our best CNN found through experiments with 10 hidden layers achieves the accuracy of (82.58 ± 1.30)% while many other instances in the same scheme can also approximate this result. The current implementation of our method can run at 60 fps and 235 fps on a regular computer with CPU-only and GPU configurations respectively. This is suitable for deployment in various applications without special requirements of hardware devices.

Original languageEnglish (US)
Title of host publicationAdvances in Visual Computing - 11th International Symposium, ISVC 2015, Proceedings
EditorsBahram Parvin, Darko Koracin, Rogerio Feris, Gunther Weber, Ioannis Pavlidis, Tim McGraw, Regis Kopper, Zhao Ye, Eric Ragan, George Bebis, Mark Elendt, Richard Boyle
Number of pages11
ISBN (Print)9783319278629
StatePublished - 2015
Event11th International Symposium on Advances in Visual Computing , ISVC 2015 - Las Vegas, United States
Duration: Dec 14 2015Dec 16 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other11th International Symposium on Advances in Visual Computing , ISVC 2015
Country/TerritoryUnited States
CityLas Vegas


  • Convolutional neural network
  • Lightweight
  • Unconstrained face verification

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science


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