IPIT-13-An Efficient Parallel Approach for Sclera Vein Recognition

Sclera vein recognition is shown to be a promising method for human identification. However, its matching speed is slow, which could impact its application for real-time applications.To improve the matching efficiency, we proposed a new parallel sclera vein recognition method using a two-stage parallel approach for registration and matching. First, we designed a rotation- and scale-invariant Y shape descriptor based feature extraction method to efficiently eliminate most unlikely matches. Second, we developed a weighted polar line sclera descriptor structure to incorporate mask information to reduce GPU memory cost. Third, we designed a coarse-to-fine two-stage matching method. Finally, we developed a mapping scheme to map the subtasks to GPU processing units. The experimental results show that our proposed method can achieve dramatic processing speed improvement without compromising the recognition accuracy.

  • Project Category : IEEE Projects
  • Project Year : 2014-2015
  • Department
  • B.E(Electronics and Communication),
  • Domain
  • Image Processing,
  • Technology
  • Avilable city
  • Pondicherry, Thanjavur,

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