Numerous investigations have given liveness finger impression discovery programmes using a variety of strategies. Our study will analyse numerous tests that are suggested in liveness finger impression location frameworks that may distinguish between real and fake unique mark images utilising AI techniques. Considering certain measures, The datasets utilised in the literature were compared. The findings imply that BSIF and LPQ are the most noteworthy highlights. Support vector machine (SVM) calculations were frequently used as a classifier. Fingerprint, liveness discovery, biometrics that are resistant to parodying, security, and machine learning are all watchwords.