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Palmprint alignment using intrinsic local affine-invariant fiducial points residing on area patches spanning between two successive fingers

机译:掌纹对齐使用内在的本地仿效不变基准点居住在两个连续手指之间跨越跨越的区域斑块

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This paper deals with the problem of palmprint alignment based on intrinsic local affine-invariant fiducial points residing on the area patches spanning between two successive fingers. The palmprint data is acquired by using general USB camera. Because these fiducial points are local and intrinsic, they allow for partial alignment, where only some part of the palmprint is viewed. Moreover, since the fiducial points are relative affine invariant to affine transformations, they allow for alignment where position of the palm relative to camera orientation can be arbitrary set. A fast non-iterative alignment procedure is proposed that establishes reliable correspondences between fiducial points without any prior knowledge of the overall global transformation that took place after the changes in camera orientation. This is achieved through the construction of a set of ordered novel absolute local affine invariants. With enough fiducial points set as correspondents, the overall affine transformation is computed and the palmprint before and after the transformation are aligned. The average alignment error was found to be in the order of 0.5% of the size of the palm corresponding to the physical resolution of 2.6 mm.
机译:本文涉及基于驻留在两个连续手指之间的区域斑块的内在本地仿射不变基准点的掌纹对齐问题。使用普通USB相机获取PalmPrint数据。因为这些基准点是局部和内在的,所以它们允许部分对齐,因为只观察了掌纹的某些部分。此外,由于基准点是相对仿射不变的仿射变换,因此它们允许对准,其中手掌相对于相机取向的位置可以是任意的设置。提出了一种快速的非迭代对准程序,为基准点之间建立可靠的对应,而无需在相机方向变化之后发生的整体全局转换的任何先验知识。这是通过建造一套有序的新型绝对仿照不变性的。通过设置为记者的足够的基准点,计算整体仿射转换,并且在转换之前和之后的棕榈纸对齐。发现平均对准误差为手掌尺寸的0.5%,对应于2.6mm的物理分辨率。

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