Paper Info
Title
Face Detection Using Fuzzy Logic and Skin Color Segmentation in Images
Abstract
Face detection is one of the challenging problems in image processing. A novel face detection system is presented in this paper and we propose a new approach using Takagi-Sugeno (T-S) fuzzy model and Hue Saturation and Value (HSV) color model. The algorithm uses fuzzy classifier in conjunction with HSV color model to quickly locate faces in the image. The fuzzy classifier basically examines small windows of an image to detect presence of faces in that window and the HSV color model detects the skin in the image. The algorithm is characterized by its simplicity and inexpensive computational requirements. The method shows that our system has comparable performance in terms of detection rates and false positive rates.
Year
DOI
Venue
2010
10.1109/ICETET.2010.20
ICETET
Keywords
Field
DocType
face recognition,fuzzy logic,image classification,image colour analysis,image segmentation,Takagi-Sugeno fuzzy model,face detection,fuzzy classifier,fuzzy logic,hue-saturation-value color model,image processing,skin color segmentation,HSV color model,Takagi-Sugeno model,face detection,fuzzy classifier
Computer vision,Facial recognition system,HSL and HSV,Pattern recognition,Fuzzy logic,Image processing,Hue,Image segmentation,Artificial intelligence,Face detection,Contextual image classification,Mathematics
Conference
Citations 
PageRank 
References 
3
0.47
10
Authors
3
Name
Order
Citations
PageRank
Akshay Bhatia151.23
Smriti Srivastava213719.60
Ankit Agarwal3162.11