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| Article Name : | | | ROBUST FACE RECOGNITION USING LBP AND SVM TECHNIQUES | | Author Name : | | | IMRAN I. KAZI AND BABASAHEB J. MOHITE | | Publisher : | | | Ashok Yakkaldevi | | Article Series No. : | | | ISRJ-89 | | Article URL : | |  | Author Profile | | Abstract : | | | Face recognition is the process of identifying or verifying the identity of person. Face recognition is an important part of many biometric, security, and surveillance systems, as well as image and video indexing systems. Face Recognition Problem is an example of Pattern Classification Problem. Like any Pattern Classification problem, Face recognition also consists of two key points, feature extraction and pattern classification. LBP (Local Binary Pattern) is very simple but efficient texture operator for feature extraction. The feature extraction can be performed using LBP. SVM (Support Vector Machine) is superior classifier than other classifiers such as RBF (Radial Basis Function), k-nearest neighbor, Fisher linear discriminant etc. The pattern classification can be performed using SVM. | | Keywords : | | - svm
- lbp
- face recognition
- feature extraction
- pattern classification
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