Among various biometric traits, like face, iris, voice, fingerprints, gait etc. fingerprints are considered to be well known due to its characteristics like, uniqueness, they do not change during time period, two fingerprints are never identical, it maintains its own individuality. But unfortunately the development of fake fingerprints is bringing up new challenges. Therefore fingerprint spoof detection system has become increasingly important. There are systems checks whether the input source is genuine finger image or spoofed finger image. This enhances the security of fingerprint recognition system. Use of fingerprint as biometric characteristics is extensively used and developed for fingerprint recognition in forensic, civilian and commercial applications. In this paper, a brief review about fingerprint spoofing and its detection technique is discussed with respect to the commonly used database LivDet. We have used Local Binary Pattern and Discrete Shearlet Transform as a feature extractor to evaluate the fingerprint image, whether real or spoofed. © 2016 IEEE.