A Survey of Face Recognition Techniques


Rabia Jafri, Hamid R Arabnia, Journal of Information Processing Systems Vol. 5, No. 2, pp. 41-68, Apr. 2009

10.3745/JIPS.2009.5.2.041
Keywords: Face Recognition, Person Identification, Biometrics
Fulltext:

Abstract

Face recognition presents a challenging problem in the field of image analysis and computer vision, and as such has received a great deal of attention over the last few years because of its many applications in various domains. Face recognition techniques can be broadly divided into three categories based on the face data acquisition methodology: methods that operate on intensity images; those that deal with video sequences; and those that require other sensory data such as 3D information or infra-red imagery. In this paper, an overview of some of the well-known methods in each of these categories is provided and some of the benefits and drawbacks of the schemes mentioned therein are examined. Furthermore, a discussion outlining the incentive for using face recognition, the applications of this technology, and some of the difficulties plaguing current systems with regard to this task has also been provided. This paper also mentions some of the most recent algorithms developed for this purpose and attempts to give an idea of the state of the art of face recognition technology.


Statistics
Show / Hide Statistics

Statistics (Cumulative Counts from November 1st, 2017)
Multiple requests among the same browser session are counted as one view.
If you mouse over a chart, the values of data points will be shown.




Cite this article
[APA Style]
Rabia Jafri and Hamid R Arabnia (2009). A Survey of Face Recognition Techniques. Journal of Information Processing Systems, 5(2), 41-68. DOI: 10.3745/JIPS.2009.5.2.041.

[IEEE Style]
R. Jafri and H. R. Arabnia, "A Survey of Face Recognition Techniques," Journal of Information Processing Systems, vol. 5, no. 2, pp. 41-68, 2009. DOI: 10.3745/JIPS.2009.5.2.041.

[ACM Style]
Rabia Jafri and Hamid R Arabnia. 2009. A Survey of Face Recognition Techniques. Journal of Information Processing Systems, 5, 2, (2009), 41-68. DOI: 10.3745/JIPS.2009.5.2.041.