Newborn Footprint Recognition Using Band-Limited Phase-Only Correlation

Newborn and infant personal authentication is a critical issue or hospital, birthing centers and other institutions where multiple births occur. which has not been well studied in the past. In this paper, we propose a novel online newborn personal authentication system for this issue based on footprint recognition. Compared with traditional offline footprinting scheme, the proposed system can capture digital footprint images with high quality. We also develop a preprocessing method for orientation and scale normalization. In this way, a coordinate system is defined to align the images and a region of interest (ROI) is cropped. In recognition stage, Band Limited Phase-Only Correlation (BLPOC) based method is exploited for feature extraction and matching. A newborn footprint database is established to examine the performance of the proposed system, and the promising experimental results demonstrated the effectiveness of proposed system.