Scientific Research and Essays

  • Abbreviation: Sci. Res. Essays
  • Language: English
  • ISSN: 1992-2248
  • DOI: 10.5897/SRE
  • Start Year: 2006
  • Published Articles: 2768

Full Length Research Paper

Iris recognition system based on video for unconstrained environments

Juan Colores-Vargas1, Mireya García-Vázquez1, Alejandro Ramírez-Acosta2, Mariko Nakano-Miyatake3 and Héctor Perez-Meana3*
1CITEDI, National Polytechnic Institute, Av. Del Parque 1310, Tijuana BC. Mexico. 2MIRAL R&D, 1047 Palm Garden, Imperial Beach, CA, USA. 3ESIME Culhuacan, National Politechnic Institute, Av. Santa Ana 1000, Col. San Francisco Culhuacan, 04430 México D.F. México.
Email: hmperezm@ipn., [email protected]., [email protected]

  •  Accepted: 27 August 2012
  •  Published: 06 September 2012


This paper proposes an iris image quality and segmentation accuracy evaluation method for video-based iris recognition systems, operating in unconstrained environment. Proposed approach consists of two stages of video quality evaluation that allows improving the iris recognition rates in non-ideal or no cooperative situations; where the first stage discards the low quality eye frames, while the second stage discards frames with low quality iris segmentation providing properly segmented iris frames to carry out the unconstrained iris recognition task. Although proposed scheme was evaluated using the Daugman algorithm, it may be used with several other iris recognition systems operating in constrained environments.Evaluation results show that the performance of conventional iris recognition system, using the proposed scheme, reduces the equal error rate (EER) value in about 12.2%.


Key words: Biometric systems, video-based iris recognition, image quality measure, non-ideal iris frames, segmentation accuracy evaluation, unconstrained environments.