Palmprint Recognition System with Double-assistant-point on iOS Mobile Devices

The security of current authentication technologies on mobile devices, such as smartphone, are not ideal. Palmprint recognition has been developed rapidly thanks to its multi-fold strengths. However, due to the various severe interference factors in contactless collection, palmprint recognition on smartphone has not yet reached the requirements of practical application. In this paper, a palmprint recognition system with the assistance acquisition and localization of “ double-assistant-point ” (DAP) was developed on iOS mobile devices, like iPhone, iPad, iPod, etc. DAP helped users place their hands at appropriate position with correct gesture during acquisition. The palmprint image was rotated so that the line connecting two valley points was horizontal, and then the coordinate system was established by virtue of two valley points between fingers. The region of interest was cropped for feature extraction and matching. The developed system has good real-time property and strong robustness of palmprint preprocessing against interference factors.