Fingerprint Spoof Detection Using Quality Features

Fingerprint Spoof Detection Using Quality Features

Biometrics refers to automated recognition of individuals based on their biological and behavioral characteristics. Biometric systems are widely used for security. They are used in forensic and commercial applications. Among all biometric techniques, fingerprint recognition is the most widely used for personal identification systems due to its permanence and uniqueness. But biometric systems ar...

Spoof Detection of Fingerprint Biometrics using PHOG Descriptor

Biometrics are used for authentication. It isused to recognize a person based on their unique characteristics. Among several biometrics, Fingerprint is the most widely used and acceptable biometrics. Biometric system has several advantages over traditional methods. But it can be affected by several attacks. In this paper type 1 attack is discussed which is performed at the sensor level. Differe...

Fingerprint Spoof Detection Using Near Infrared Optical Analysis

Spoof Attack Detection in Fingerprint Authentication using Hybrid fusion

In the modern era, with the growing need of biometric technologies, spoof attacks are becoming a serious concern. A number of solutions have been proposed to detect the use of fake fingerprints[3]. This paper takes advantage of skin elements in fingerprints, namely: minutiae points and Ridge Bifurcations to investigate spoof attacks. Graphical results using histogram approach in MATLAB show the...

Fingerprint Spoof Detection Using Contrast Enhancement and Convolutional Neural Networks

Recently, as biometric technology grows rapidly, the importance of fingerprint spoof detection technique is emerging. In this paper, we propose a technique to detect forged fingerprints using contrast enhancement and Convolutional Neural Networks (CNNs). The proposed method detects the fingerprint spoof by performing contrast enhancement to improve the recognition rate of the fingerprint image,...