Iris recognition in less constrained environments: a video-based approach

Other literature type English OPEN
Mahadeo, Nitin Kumar;
(2017)
  • Related identifiers: doi: 10.4225/03/58b761ed38d5c
  • Subject: image processing | open access | thesis(doctorate) | Uncategorized | monash:148897 | biometrics | ethesis-20150127-121758 | 1959.1/1134625 | 2015 | iris recognition
    mesheuropmc: urologic and male genital diseases | cardiovascular diseases | fungi | urogenital system | female genital diseases and pregnancy complications
    acm: ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION | ComputingMethodologies_PATTERNRECOGNITION

This dissertation focuses on iris biometrics. Although the iris is the most accurate biometric, its adoption has been relatively slow. Conventional iris recognition systems utilize still eye images captured in ideal environments and require highly constrained subject pr... View more
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