双点辅助定位的移动终端掌纹识别系统

移动终端掌纹识别中难以控制手掌摆放位置和姿态，并且受到复杂场景和差异光照的干扰以及硬件资源的限制。针对上述技术挑战，本文在Android平台上自主设计和实现双点辅助定位的新型掌纹识别系统，并解决整个工程实现中的多个技术难题。拍摄时由辅助点和辅助框共同限定手部位置和姿态，确定食指和中指之间以及无名指和小指之间的2个指间谷底点为关键点，旋转掌纹图像使两点连线与坐标系横轴平行，最终裁剪感兴趣区域用于特征提取和识别。本文提出的辅助定位方案增强了掌纹预处理抵御干扰因素的稳健性和系统实时性。

Palmprint Recognition System on Mobile Devices Based on Dual-point Assistance

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.