Local contrast phase descriptor for fingerprint liveness detection

作者：

Highlights：

• We propose a new local descriptor for fingerprint liveness detection.

• It is based on the joint use of contrast and phase information.

• Image analysis is carried out in both the spatial and the transform domains.

• We generate a bi-dimensional contrast–phase histogram, used as feature vector.

• A properly trained linear-kernel SVM classifier makes the final live/fake decision.

摘要

Highlights•We propose a new local descriptor for fingerprint liveness detection.•It is based on the joint use of contrast and phase information.•Image analysis is carried out in both the spatial and the transform domains.•We generate a bi-dimensional contrast–phase histogram, used as feature vector.•A properly trained linear-kernel SVM classifier makes the final live/fake decision.

论文关键词：Fingerprint liveness detection,Local descriptors

论文评审过程：Received 30 December 2013, Revised 22 April 2014, Accepted 28 May 2014, Available online 9 June 2014.

论文官网地址：https://doi.org/10.1016/j.patcog.2014.05.021