Recognition of new born babies using multi class SVM

Biometrie recognition can be used for the identification of new born babies. It avoids the swapping, abduction, incorrect identification and accurate census. In this paper, it uses an auto encoder based scheme for extracting the features. Then it is followed by a problem specific distance metric learning through one shot similarity with multi class SVM. The algorithm has been implemented successfully.