• SHAIK NASREEN
• P. VAISHNAVI RAJEEV

Biometric recognition is nowadays a mature technology with several applications. However, biometric systems based on fingerprint are vulnerable to direct attacks consisting on the presentation of a fake fingerprint to the sensor. This work focuses on fingerprint liveness detection methods as an attempt to overcome that vulnerability. Two methods from the state-of-the-art in iris liveness detection were tested with fingerprint databases containing different kinds of fake samples. One aim of the work was to investigate how these iris techniques would perform with fingerprint fake samples. The other purpose was to diversify the classification scenario by broaden the classification task from being made within each type of samples to being made in sets mixing the types of fake samples.

live behavior, Pose prediction, Yawn prediction

"FINGERPRINT LIVENESS AND SPOOF DETECTION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 6, page no.j406-j412, June-2022, Available :http://www.jetir.org/papers/JETIR2206955.pdf

"FINGERPRINT LIVENESS AND SPOOF DETECTION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 6, page no. ppj406-j412, June-2022, Available at : http://www.jetir.org/papers/JETIR2206955.pdf