RGB Ratio Based Face Detection and Skin Detection: A Review

  Shradha.G.Ghormode,  Prof.Dr.C.M.Jadhao,  Prof. S. S. Mhaske

One of the best application of image analysis and understanding is face detection.Face detection is one of the challenging task. For face detection the number of algorithm have been developed in last few years. In this review paper we deals with the of colour spaces which are used for face detection and skin detection, different operations performs like thresholding and morphological filtering. In this paper an improved segmentation algorithm for face detection in colour images with multiple faces and skin tone regions proposed. Skin regions are extracted using a set of bounding rules based on the skin colour distribution obtained from a training set. A segmentated regions of face are further classified using a parallel combination of morphological operations. In the preprocessing step skin colour is detected using colour space model. Filters and morphological operators will be used to fill the wholes that will be created after the segmentation process. Then edge detection method will be used to detect the face edges and then masking is done and faces are detected. The goal is to develop an algorithm to detect faces from an images so that it will upgrade the exact detection rate.

Keywords- Colourspace, RGB Model, face detection, skin colour, morphological filtering, thresholding

Unique Identification Number - IJEDR1803078
Page Number(s) - 453-458
Pubished in - Volume 6 | Issue 3 | August 2018
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)

  Shradha.G.Ghormode,  Prof.Dr.C.M.Jadhao,  Prof. S. S. Mhaske,   "RGB Ratio Based Face Detection and Skin Detection: A Review", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.6, Issue 3, pp.453-458, August 2018, Available at :http://www.ijedr.org/papers/IJEDR1803078.pdf