基于指根边缘夹角平分线拟合的掌纹定位方法  

Angular Bisector Fitting of Finger Valley Edge for Palmprint Localization

作　　者：陈琪[1] 张情 陈昊[1] 冷璐 黎明[1] 

机构地区：[1]南昌航空大学信息工程学院,江西南昌330063 [2]南昌航空大学软件学院,江西南昌330063

出　　处：《微电子学与计算机》2018年第2期56-60,共5页Microelectronics & Computer

基　　金：国家自然科学基金(61305010;61202112;61262019;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(2017YYCXJXST048);江西省教育厅科学技术研究项目(GJJ150716;GJJ150715);江西省图像处理与模式识别重点实验室开放基金(TX201604002;ET201680245);江西省研究生创新基金(YC2016021;YC2017095);江西省研究生三小基(2017YBXG005;2017YBRJ034)

摘　　要：针对移动终端复杂背景引起的感兴趣区域(Region of interest,ROI)定位不准确性,提出一种基于指间边缘夹角角平分线的掌纹ROI定位方法.首先在YCbCr颜色空间提取边缘,即追踪掌纹轮廓,然后用椭圆模型去除伪边缘和噪声,通过形态学操作对实际边缘进行平滑和修补,从而将指根边缘区域化.在所得两个边缘区域上,用最小二乘法拟合边缘夹角平分线来定位指窝点.该方法能有效去除指根附近背景的干扰,克服手掌轻微旋转引起的ROI定位偏差,实验表明该方法在移动设备环境下能够达到较高的正确率和认证精度.Aiming at the inaccurate positioning of region of interest （ROI）, a method of ROI localization based onangular bisector of finger valley edge is proposed. Firstly, the edges are extracted in the YCbCr color space, i. e.tracing the palmprint contour. Then the pseudo edges and noises are removed with the ellipse model. In addition,the actual edges are smoothed and repaired with morphological manipulation, which leads to the regionalization ofvalley edges between fingers. On the two obtained edge regions, the two angular bisector are fitted with least squaremethod to detect two key-points of finger valley. The proposed method cannot only remove the disturbance in thebackground near the finger valley, but also overcome the deviation of ROI localization resulted from the slightrotation of the palm The experimental results confirm that the proposed method can achieve high accuracy andverification precision in mobile device environment.

关 键 词：指根边缘 角平分线拟合 关键点定位 移动终端 最小二乘法 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]