计算机与现代化

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双点辅助定位的移动终端掌纹识别系统

  

  1. (1.上海市数字证书认证中心有限公司系统研发部,上海200080;2.南昌航空大学江西省图像处理与
    模式识别重点实验室,江西南昌330063;3.宁波大学信息科学与工程学院,浙江宁波315211)
  • 收稿日期:2017-08-09 出版日期:2018-04-03 发布日期:2018-04-03
  • 作者简介:王天华(1979-),男,湖北潜江人,上海市数字证书认证中心有限公司系统研发部工程师,硕士,研究方向:身份认证,信息安全; 冷璐(1982-),男,南昌航空大学江西省图像处理与模式识别重点实验室副教授,博士,研究方向:图像处理与模式识别,生物特征认证; 袁明汶(1993-),男,宁波大学信息科学与工程学院硕士研究生,研究方向:掌纹识别。
  • 基金资助:
    国家自然科学基金资助项目(61763033,61772255); 江西省重点研发计划项目(20171ACE50024); 江西省优势科技创新团队建设计划项目(20165BCB19007); 公安部应用创新计划(2017YYCXJXST048); 江西省教育厅科学技术研究项目(GJJ150715); 江西省图像处理与模式识别重点实验室开放基金(TX201604002,ET201680245); 上海市数字证书认证中心研发基金资助项目(HFK201628002); 南昌航空大学博士启动基金资助项目(EA201620045); 江西省研究生创新基金资助项目(YC2016021,YC2017095); “三小”学术科技项目(2017YBRJ034,2017YBXG005)

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

  1. WANG Tian-hua1, LENG Lu2, YUAN Ming-wen3
    (1. Department of Research & Development, Shanghai Electronic Certificate Authority Center Co. Ltd., Shanghai 200080, China;
    2. Key Laboratory of Jiangxi Province for Image Processing and Pattern Recognition, Nanchang Hangkong University, Nanchang
     330063, China; 3. Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo 315211, China)
  • Received:2017-08-09 Online:2018-04-03 Published:2018-04-03

摘要: 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。

关键词: 双点辅助定位, 掌纹识别, 安卓平台, 移动终端

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

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