Open Access Open Access  Restricted Access Subscription or Fee Access

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

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

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.



Full Text:

PDF

Refbacks

  • There are currently no refbacks.


This site has been shifted to https://stmcomputers.stmjournals.com/