Live fingerprint detection using magnitude of perceived spatial stimuli and local phase information

Rubab Mehboob; Hassan Dawood; Hussain Dawood; Muhammad Usman Ilyas; Ping Guo; Ameen Banjar

doi:10.1117/1.JEI.27.5.053038

13 October 2018 Live fingerprint detection using magnitude of perceived spatial stimuli and local phase information

Rubab Mehboob, Hassan Dawood, Hussain Dawood, Muhammad Usman Ilyas, Ping Guo, Ameen Banjar

Author Affiliations +

Journal of Electronic Imaging, Vol. 27, Issue 5, 053038 (October 2018). https://doi.org/10.1117/1.JEI.27.5.053038

Abstract

Fingerprint recognition systems are widely used for authentication purposes in security systems. However, fingerprint recognition systems can easily be spoofed by imitations of fingerprints using various spoof materials. A compact and discriminative set of features is needed to discriminate between live and spoof fingerprints. We explore combined Shepard magnitude and orientation for live fingerprint detection using independent quantization of global and local features extracted in spatial and frequency domain. The spatial domain features that are extracted comprise of the magnitude of perceived spatial stimuli that is computed from the net variation of perceived edge information. Rotation invariance is achieved by extracting local features based on phase information of significant frequency components in the frequency domain. The concatenated feature vector associated with a fingerprint image is represented as a two-dimensional histogram. The support vector machine classifier is used to classify the fingerprint as either live or spoof. Experiments are performed on three databases, i.e., the fingerprint liveness detection (LivDet) competition databases of 2011, 2013, and 2015. Results showed a reduction in average error rate to 5.8, 2.2, and 5.3 on LivDet 2011, 2013, and 2015, respectively.

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Rubab Mehboob, Hassan Dawood, Hussain Dawood, Muhammad Usman Ilyas, Ping Guo, and Ameen Banjar "Live fingerprint detection using magnitude of perceived spatial stimuli and local phase information," Journal of Electronic Imaging 27(5), 053038 (13 October 2018). https://doi.org/10.1117/1.JEI.27.5.053038

Received: 3 May 2018; Accepted: 11 September 2018; Published: 13 October 2018

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