Towards mobile and touchless fingerprint verification

Touchless finger detection for the biometric fingerprint verification/identification process with mobile devices is considered in this paper. Fingerprint capturing is based on a camera system with bright-field illumination. For finger detection, a machine learning based algorithm with Aggregated Channel Features (ACFs) and a skin-color based finger segmentation with a geometric shape based approach for fingertip detection are considered, respectively. Results demonstrate the performance of both algorithms.