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Paper Details
Paper Title
Facial Skin Segmentation Using SURF & SIFT with Parameters
Authors
  Ankita Sharma,  Jaspreet Singh Kaleka
Abstract
In this research, facial skin segmentation is performed by using SURF (Speeded Up Robust Features technique) & SIFT (Scale-Invariant Feature Transform) with image parameters. These are used in order to recognize and extract face skin. First of all the face skin is recognized and extracted using skin segmentation and a bounding box was made around the face of person then SIFT features are detected then SURF features. The feature points were then extracted and lastly were matched. If various features matches then the system recognize the face skin. The parameters like accuracy and matching time are calculable and results obtained are used to validate the proposed approach.
Keywords- Skin segmentation; SURF; SIFT; parameters; face recognize; keypoints
Publication Details
Unique Identification Number - IJEDR1603102Page Number(s) - 621-627Pubished in - Volume 4 | Issue 3 | August 2016DOI (Digital Object Identifier) -    Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
  Ankita Sharma,  Jaspreet Singh Kaleka,   "Facial Skin Segmentation Using SURF & SIFT with Parameters", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.4, Issue 3, pp.621-627, August 2016, Available at :http://www.ijedr.org/papers/IJEDR1603102.pdf
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