Abstract: Palmprint recognition on mobile devices suffers from several severe technical challenges, including non-uniform palm location and gesture, complex background, diverse illumination, limited hardware resource, etc. A novel palmprint recognition system based on dual-point assistance acquirement technique is designed and implemented independently on Android platform in order to overcome the aforementioned problems. In addition, several technological difficulties are addressed in entire engineering implementation. Both assistant points and restricting blocks assist users to place their hands at appropriate position with correct pose during acquirement. The two assistant points are located on the two key-points, i.e., the two finger valley points between index finger and middle finger as well as ring finger and little finger. Then a palmprint image is rotated so that the line connecting two key-points is horizontal. Finally, the region of interest is cropped for the following feature extraction and recognition. The proposed assistant localization scheme enhances the robustness of palmprint preprocessing against interference factors and real-time property.

Key words: dual-point assistance, palmprint recognition, Android platform, mobile device