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Face Detection and Face Recognition in Android Mobile Applications

Author

Listed:
  • Octavian DOSPINESCU
  • Iulian POPA

Abstract

The quality of the smartphone’s camera enables us to capture high quality pictures at a high resolution, so we can perform different types of recognition on these images. Face detection is one of these types of recognition that is very common in our society. We use it every day on Facebook to tag friends in our pictures. It is also used in video games alongside Kinect concept, or in security to allow the access to private places only to authorized persons. These are just some examples of using facial recognition, because in modern society, detection and facial recognition tend to surround us everywhere. The aim of this article is to create an appli-cation for smartphones that can recognize human faces. The main goal of this application is to grant access to certain areas or rooms only to certain authorized persons. For example, we can speak here of hospitals or educational institutions where there are rooms where only certain employees can enter. Of course, this type of application can cover a wide range of uses, such as helping people suffering from Alzheimer's to recognize the people they loved, to fill gaps persons who can’t remember the names of their relatives or for example to automatically capture the face of our own children when they smile.

Suggested Citation

  • Octavian DOSPINESCU & Iulian POPA, 2016. "Face Detection and Face Recognition in Android Mobile Applications," Informatica Economica, Academy of Economic Studies - Bucharest, Romania, vol. 20(1), pages 20-28.
  • Handle: RePEc:aes:infoec:v:20:y:2016:i:1:p:20-28
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    Cited by:

    1. Nai-Hua Chen, 2020. "Exploring the Cognitive and Emotional Impact of Online Climate Change Videos on Viewers," Sustainability, MDPI, vol. 12(22), pages 1-16, November.

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