DocumentCode :
117520
Title :
Human skin detection and face recognition using fuzzy logic and eigenface
Author :
Chowdhury, Abishi ; Tripathy, Sanjaya Shankar
Author_Institution :
Dept. of Electr. & Comm. Eng., Birla Inst. of Technol., Ranchi, India
fYear :
2014
fDate :
6-8 March 2014
Firstpage :
1
Lastpage :
4
Abstract :
Human skin detection and face recognition is a very active area for research in the field of image processing. It is used to prevent many crimes and helps to provide public security. Due to the high complexity in techniques such as real time processing and image contents analysis/understanding, a well-developed product is not available until now in this field. In this work, human presence is detected from an image by extracting the skin region (if present). Since human skin can be found in a varied colour, fuzzy approach is used to extract the skin region. After that individual faces are detected. Eigenface is used to recognize different faces. The experimental results show the effectiveness of the proposed technique.
Keywords :
eigenvalues and eigenfunctions; face recognition; feature extraction; fuzzy logic; object detection; crimes; eigenface; face recognition; fuzzy approach; fuzzy logic; human skin detection; image contents analysis; image contents understanding; image processing; public security; skin region extraction; techniques complexity; Computer vision; Face; Face recognition; Flowcharts; Fuzzy logic; Image color analysis; Skin; Eigenface; face recognition; fuzzy logic; skin detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Green Computing Communication and Electrical Engineering (ICGCCEE), 2014 International Conference on
Conference_Location :
Coimbatore
Type :
conf
DOI :
10.1109/ICGCCEE.2014.6922222
Filename :
6922222
Link To Document :
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