Machine Learning Based Non Live Finger Print Detection

Machine Learning Based Non Live Finger Print Detection

Mrs.S.Subhashini , Research Scholar, Anna university, Regional campus, Madurai ,

Dr.P.Umamaheswari, Asst.Professor,  Anna university , Regionalcampus, Madurai

Abstract— In recent days, liveness detection of finger print image has become very essential in finger print  recognition  systems because fake finger prints are used in lieu of  real finger prints.  Many machine learning(ML) techniques  have been widely used  for  non live finger print image detection because these techniques provide  high accurate identification and also cost effective. These techniques  also enhance the accuracy of  classification of  real and spoof finger print images. In this article , literature review is done about  machine learning (ML) and its algorithms  used  for the detection of  non live finger print. The main objective of this article is to compare and  analyse various ML techniques used for spoof detection. It also provides an overview of  performance merits and limitations of  ML algorithms used in non live finger print detection  .

Index Terms— Non live finger print, liveness detection , Machine learning, anti spoofing, spoof detection