Skin Tone based Face Detection using Nonlinear Transformation and Its DSP Implementation

Authors

  • M V Ganeswara Rao
  • P R Kumar
  • A M Prasad

DOI:

https://doi.org/10.37591/josettt.v4i3.1242

Abstract

Abstract

The face detection plays key role in the facial recognition algorithms, which are used in many applications such as security surveillance, person identification etc. This paper proposes a new skin tone centred face detection algorithm to improve detection accuracy and detection speed. A nonlinear transformation technique used to decrease false alarms in skin tone detection stage. The proposed algorithm has been implemented on Taxas Instruments TMS320DM642 DSP processor and our algorithm increased detection accuracy by 6.2% and detection performance by 36% compared with the state of the art face detection systems. 

Keywords: Face detection, skin tone, nonlinear transform, digital signal processor

Cite this Article

Rao MVG, Kumar PR, Prasad AM. Skin Tone based Face Detection using Nonlinear Transformation and Its DSP Implementation. Journal of Software Engineering Tools & Technology Trends. 2017; 4(3): 9–16p.


Downloads

Published

2018-01-22

Issue

Vol. 4 No. 3 (2017)

Section

Research Articles

License

Declaration and Copyright Transfer Form

(to be completed by authors)

I/ We, the undersigned author(s) of the submitted manuscript, hereby declare, that the above manuscript which is submitted for publication in the STM Journals(s), is not published already in part or whole (except in the form of abstract) in any journal or magazine for private or public circulation, and, is not under consideration of publication elsewhere.

  • I/We will not withdraw the manuscript after 1 week of submission as I have read the Author Guidelines and will adhere to the guidelines.
  • I/We Author(s ) have niether given nor will give this manuscript elsewhere for publishing after submitting in STM Journal(s).
  • I/ We have read the original version of the manuscript and am/ are responsible for the thought contents embodied in it. The work dealt in the manuscript is my/ our own, and my/ our individual contribution to this work is significant enough to qualify for authorship.
  •  I/We also agree to the authorship of the article in the following order:

Author’s name                                    

 

1. ________________

2. ________________

3. ________________

4. ________________

 

We  Author(s) tick this box and would request you to consider it as our signature as we agree to the terms of this Copyright Notice, which will apply to this submission if and when it is published by this journal.