An image acquisition method for face recognition and implementation of an automatic attendance system for events

Luis Fung-Lung, Mikael Nycander-Barua, Pedro Shiguihara-Juarez

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Scopus citations

Abstract

Facial image acquisition systems produce low quality face images. This happens because the imaging conditions like illumination, occlusion or noise might change among images. To achieve optimal images, we proposed an image acquisition method for face recognition. Then, with this method, it was created the Smart Event Faces Database that contains video frames from videos taken by smartphones and Raspberry Pi. Also, it was measured the accuracy for face recognition and execution time for the Smart Event Faces Database using ResNet 34 for feature extraction and the next classifiers: K-Nearest Neighbors, Naive Bayes, Random Forest, Multi-Layer Perceptron, Decision Tree, Adaboost and Support Vector Machine. Additionally, we compared these classifiers to show which was effective for the dataset in terms of accuracy and execution time. Then, we used the Smart Event Faces Database to create an automatic attendance system for events using Raspberry Pi, ResNet-34 and K-Nearest Neighbors classifier. The results achieved in the Smart Event Faces Database showed that K-Nearest Neighbors and Support Vector Machine had the best results with more than 0.96 of accuracy for face recognition and less than 1.5 seconds respectively of execution time. The automatic attendance system had an accuracy for face recognition of 0.94 and 0.5 seconds approximately per frame in execution time for 19 persons in 2 events.

Original languageEnglish
Title of host publicationProceedings of the 2019 IEEE 26th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728136462
DOIs
StatePublished - Aug 2019
Externally publishedYes
Event26th IEEE International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2019 - Lima, Peru
Duration: 12 Aug 201914 Aug 2019

Publication series

NameProceedings of the 2019 IEEE 26th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2019

Conference

Conference26th IEEE International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2019
Country/TerritoryPeru
CityLima
Period12/08/1914/08/19

Keywords

  • Automatic attendance system
  • Face recognition
  • Image acquisition method

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