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Conjunctival Vasculature Liveness Detection Based on DCT Features

  • S. N. DharwadkarEmail author
  • Y. H. DandawateEmail author
  • A. S. AbhyankarEmail author
Conference paper
Part of the Lecture Notes in Computational Vision and Biomechanics book series (LNCVB, volume 30)

Abstract

Iris liveness detection algorithms are developed to recognize iris images were acquired from a live person who is actually present at the time of data capture. However the quality of the acquired images will decide success rate. Systems can be spoofed by using fake Photographs, video recordings, printed contact lenses, etc. Conjunctival Vasculature can be used as a biometric trait to identify liveness, paper gives focus on generation of a novel method to extract significant portion of off-angle eye called as sclera. DCT Transform based statistical features are used to find liveliness. System is tested using Extreme learning machines.

Keywords

Liveness detection Conjunctival vasculature DCT transform Extreme learning machines 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.E&TC DepartmentVIITPuneIndia
  2. 2.E&TC DepartmentSPPUPuneIndia

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