DocumentCode :
116977
Title :
Facial feature extraction and textual description classification using SVM
Author :
Bansode, N.K. ; Sinha, P.K.
Author_Institution :
Coll. of Eng., Bharati Vidyapeeth, Pune, India
fYear :
2014
fDate :
3-5 Jan. 2014
Firstpage :
1
Lastpage :
5
Abstract :
Facial feature detection and extraction plays a significant role in face recognition. In this paper, we proposed a new approach for face feature description using support vector machine classifier. Searching image from the image contents is a major challenge in computer vision and pattern recognition. The textual label is assigned to the face feature according to the semantic meaning of the feature. The concept of the textual image description gives advantages to the user to search the image with the help of the visual attributes of the image. The face features like eyes, nose, mouth are labeled with the visual attributes like small, normal and large.
Keywords :
face recognition; feature extraction; image classification; image texture; support vector machines; SVM; computer vision; face feature description; facial feature detection; facial feature extraction; image contents; image search; image visual attributes; pattern recognition; support vector machines; textual description classification; textual image description; Eyebrows; Face; Face recognition; Facial features; Feature extraction; Mouth; Nose; Feature extraction; classifiers; face recognition; textual description;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Communication and Informatics (ICCCI), 2014 International Conference on
Conference_Location :
Coimbatore
Print_ISBN :
978-1-4799-2353-3
Type :
conf
DOI :
10.1109/ICCCI.2014.6921772
Filename :
6921772
Link To Document :
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