Stable Pore Detection for High-Resolution Fingerprint based on a CNN Detector

High-resolution fingerprint images contain three levels of features. Pores, as one of the level 3 features, have wide attention due to its significant contribution to the recognition accuracy. An accurate and stable pore detection algorithm plays a key role on the pore-based fingerprint recognition system. This paper proposes a pore detection method for high-resolution fingerprint images. The method uses fully convolutional network combined with the focal loss and shortcut structure to detect pores. The proposed algorithm is tested on the high-resolution fingerprint database. Experimental results show that our method outperforms the existing algorithms in accuracy, stability and matching performance.