Biometric Jammer: A Prevention of Fake Acquisition of Fingerprint for Security Enhancement

Abstract

Biometric is a powerful tool use for the security in various domains such as mobile device security, law enforcement fields, civilian applications and military application. As the biometric has advantages properties and its wide application in various domains make it more popular also help to capture the commercial market. Even though the biometric system has to face the most common problem like is a spoofing attack and acquisition of biometric data. To detect and solve such attack problems involves use of a fake and liveness detection techniques in the system. Also to prevent the acquisition of image as it is the biometric valuable asset. The novel approach is put forward which suggested the use of fingerprint and palmprint as biometric data in the image form. The biometric data is pre-process and the further processing involves use of random forest classifier for the security enhancement and jam the spoofing attack on biometric system and asset.