Face Recognition Via Skin Fusion Using SVM- LBP
K. Nishitha1, V. Pujith2, Bhavani S Panda3
1K.Nishitha , Department of Computer Science Engineering, KLEF, Vaddeswaram (Andhra Pradesh), India.
2V.Pujith, Department of Computer Science Engineering, KLEF, Vaddeswaram (Andhra Pradesh), India.
3Bhavani S Panda, Associate Professor, Department of Computer Science Engineering, KLEF Vaddeswaram (Andhra Pradesh), India.
Manuscript received on 07 April 2019 | Revised Manuscript received on 20 April 2019 | Manuscript published on 30 April 2019 | PP: 233-239 | Volume-8 Issue-6, April 2019 | Retrieval Number: F3460048619/19©BEIESP
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: A reliable human skin discovery strategy that is adaptable to different human skin colours and illumination conditions is essential for better human skin segmentation. Given an image sequence, the objective of face identification is to locate all regions that contain a face regardless of any three-dimensional change and lighting condition. There are two main classes which will function an answer for this problem: feature-based and image-based approaches. In this theory, three different feature-based oriented solutions are compared. There are conditions where we define face detection and recognition methods that is Edge based, Skin fusion based and template matching SVM-LBP method in which we recognize an unknown test image by comparing it with the known training images stored in the database and also give data with respect to the individual perceived. These techniques work well under robust conditions like complex background, different face positions. These algorithms give completly different rates of accuracy under various conditions as through an experiment. In face identification, we have built up an algorithmic program which will locate human appearances from an image. We have taken skin shading as an tool for identification. This system functions admirably for Indian faces which have a particular appearance fluctuating under certain range. We have taken examples and simluated the algorithms in matlab effectively.
Keyword: Face Recognition, Skin Detection, Occlusion, Low Resolution, Face Images.
Scope of the Article: Pattern Recognition