Integrating ocular and iris descriptors for fake iris image detection

Chun Wei Tan, Ajay Kumar Pathak

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

7 Citations (Scopus)

Abstract

Iris recognition has emerged as one of the most promising contactless biometrics technologies to provide automated human identification. Several national ID programs, such as Aadhar in India, incorporate iris biometrics to provide unique identity to millions of citizens. Therefore it is vital that integrity of such large scale iris deployments must also be safeguarded. Iris recognition technologies are increasingly becoming susceptible to sophisticated sensor level spoof attacks. This paper details the development of a new anti-spoofing approach which exploits the statistical grey-level dependencies in both the localized and global eye regions surrounding iris. We present experimental results on publicly available fake iris image database. The correct classification rate of 99.75% is obtained from the developed spoof iris detection approach using 1200 real and fake iris images and rom a publicly available database.
Original languageEnglish
Title of host publication2nd International Workshop on Biometrics and Forensics, IWBF 2014
PublisherIEEE
ISBN (Electronic)9781479943708
DOIs
Publication statusPublished - 1 Jan 2014
Event2nd International Workshop on Biometrics and Forensics, IWBF 2014 - Valletta, Malta
Duration: 27 Mar 201428 Mar 2014

Conference

Conference2nd International Workshop on Biometrics and Forensics, IWBF 2014
CountryMalta
CityValletta
Period27/03/1428/03/14

Keywords

  • Biometrics
  • iris liveness detection
  • iris recognition
  • spoof iris detection

ASJC Scopus subject areas

  • Computer Science Applications
  • Biotechnology

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