Analysis of Classification Techniques based on SVM for Face Recognition
Lucknesh Kumar, Sarita Bharti · 2013
SVM and ISVM are the most prominent technique for excellent learning and classification in the field of machine learning such as face detection and recognition, handwriting automatic identification and automatic text categorization, video tracking, Number plate recognition, Traffic Control etc. Nowadays, Face recognition is a challenging task in the field of computer vision. Motive of face recognition is to compare between the Given face database with the input face image and then declare a decision that identifies to whom the input image class belongs to or doesn't belong to the face database.In this analysis we not only study and also compare the sophisticated classification technique i.e. SVM and ISVM for face recognition along with its pros and cons.