PALMPRINT MATCHING USING PAIRWISE RELATIVE ANGLE HISTOGRAM

摘要：

In this paper, we propose a novel approach to retrieve line-patterns from large databases in a rotation and translation invariant manner, at the same time, tackle broken line problem.Line segments are extracted from an image as primitives.Each local structure is represented by a set of pair-wise angle relationships, which are simple, invariant to translation and rotation, robust to end-point erosion, segment error, and sufficient for discrimination.Experiment showed encouraging results which also implicate that line segments could provide sufficient information for palmprint recognition.

关键词： Line feature Relative angle Histogram Palmprint Hausdorff distance

作者: FANG LI MAYLOR K.H.LEUNG LARREE T.G.SIM

作者单位: School of computer engineering, Nanyang Technological University, Singapore 639798

会议类型: 国际会议

会议名称: 2007 International Conference on Machine Learning and Cybernetics(IEEE第六届机器学习与控制论国际会议)

会议地点: 香港

会议语种:英文

页码: 151-155

在线出版日期: 2007-08-19（万方平台首次上网日期，不代表论文的发表时间）