Spoofing protection for fingerprint scanner by fusing ridge signal and valley noise

Review of the Fingerprint Liveness Detection (LivDet) competition series: 2009 to 2015

“…Many solutions have been proposed to solve the vulnerability of spoofing [13,14]. Bozhao Tan et al has proposed a solution based on ridge signal and valley noise analysis [13].…”

“…Bozhao Tan et al has proposed a solution based on ridge signal and valley noise analysis [13]. This solution examines the perspiration patterns along the ridge and the patterns of noise in the valleys of images [13].…”

“…Bozhao Tan et al has proposed a solution based on ridge signal and valley noise analysis [13]. This solution examines the perspiration patterns along the ridge and the patterns of noise in the valleys of images [13]. It was proposed that since live fingers sweat, but spoof fingers do not, the live fingerprint will 55 look "patchy" compared to a spoof [13].…”

“…This solution examines the perspiration patterns along the ridge and the patterns of noise in the valleys of images [13]. It was proposed that since live fingers sweat, but spoof fingers do not, the live fingerprint will 55 look "patchy" compared to a spoof [13]. Also it was proposed that due to the properties of a spoof material, spoof fingers will have granules in the valleys that live fingers will not have [13].…”

Spoof Detection of Fingerprint Biometrics based on Local and Global Quality Measures

“…The integrated system of fingerprint matcher and liveness module reduces EER to 0:03%. A new method by combining ridge signal and valley noise analysis is proposed for anti-spoofing in fingerprint sensors [9]. This method quantifies perspiration patterns along ridges in live subjects and noise patterns along valleys in spoofs.…”