This article proposes a new approach for iris recognition.
The authors contend that traditional iris recognition algorithms work well for frontal iris images; however, when the angle of an eye changes with respect to the camera lens (“off-angle”) the size, shape, and detail of iris patterns change as well and cannot be matched using traditional methods. The new method proposed does not require polar transformation, affine transformation, or highly accurate segmentation to perform iris recognition. The authors research show positive results in that the proposed method works and is successful for both frontal look images and off-angle images.
Downloads
Similar Publications
- The Application of Proteomics to Forensic Human Identification and Disease Characterization Using Hair Shafts
- Resolution of Mitochondrial DNA Mixtures using a Probe Capture Next Generation Sequencing System and Custom Analysis Software (Dissertation)
- Differentiation and identification of fentanyl analogues using GC-IRD