Active pore detection for liveness in fingerprint identification system

Fingerprint based security systems are implemented for secure access at various levels. Liveness detection is an emerging challenge in the field of fingerprint biometrics. We investigated a novel method of detection of active sweat pores on fingertip images as a sign of liveness. In this paper, performance of newly developed image processing algorithm based on High-Pass and Correlation filtering (HCFA) technique for active pore detection is presented for four different threshold levels at the binarization stage.