Abstract
Undersampling in the detector array degrades the performance of iris-recognition imaging systems. We find that an undersampling of 8 × 8 reduces the iris-recognition performance by nearly a factor of 4 (on CASIA iris database), as measured by the false rejection ratio (FRR) metric. We employ optical point spread function (PSF) engineering via a Zernike phase mask in conjunction with multiple subpixel shifted image measurements (frames) to mitigate the effect of undersampling. A task-specific optimization framework is used to engineer the optical PSF and optimize the postprocessing parameters to minimize the FRR. The optimized Zernike phase enhanced lens (ZPEL) imager design with one frame yields an improvement of nearly 33% relative to a thin observation module by bounded optics (TOMBO) imager with one frame. With four frames the optimized ZPEL imager achieves a FRR equal to that of the conventional imager without undersampling. Further, the ZPEL imager design using 16 frames yields a FRR that is actually 15% lower than that obtained with the conventional imager without undersampling.
| Original language | English (US) |
|---|---|
| Journal | Applied Optics |
| Volume | 49 |
| Issue number | 10 |
| DOIs | |
| State | Published - Apr 1 2010 |
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ASJC Scopus subject areas
- Atomic and Molecular Physics, and Optics
Cite this
Point spread function engineering for iris recognition system design. / Ashok, Amit; Neifeld, Mark A.
In: Applied Optics, Vol. 49, No. 10, 01.04.2010.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Point spread function engineering for iris recognition system design
AU - Ashok, Amit
AU - Neifeld, Mark A
PY - 2010/4/1
Y1 - 2010/4/1
N2 - Undersampling in the detector array degrades the performance of iris-recognition imaging systems. We find that an undersampling of 8 × 8 reduces the iris-recognition performance by nearly a factor of 4 (on CASIA iris database), as measured by the false rejection ratio (FRR) metric. We employ optical point spread function (PSF) engineering via a Zernike phase mask in conjunction with multiple subpixel shifted image measurements (frames) to mitigate the effect of undersampling. A task-specific optimization framework is used to engineer the optical PSF and optimize the postprocessing parameters to minimize the FRR. The optimized Zernike phase enhanced lens (ZPEL) imager design with one frame yields an improvement of nearly 33% relative to a thin observation module by bounded optics (TOMBO) imager with one frame. With four frames the optimized ZPEL imager achieves a FRR equal to that of the conventional imager without undersampling. Further, the ZPEL imager design using 16 frames yields a FRR that is actually 15% lower than that obtained with the conventional imager without undersampling.
AB - Undersampling in the detector array degrades the performance of iris-recognition imaging systems. We find that an undersampling of 8 × 8 reduces the iris-recognition performance by nearly a factor of 4 (on CASIA iris database), as measured by the false rejection ratio (FRR) metric. We employ optical point spread function (PSF) engineering via a Zernike phase mask in conjunction with multiple subpixel shifted image measurements (frames) to mitigate the effect of undersampling. A task-specific optimization framework is used to engineer the optical PSF and optimize the postprocessing parameters to minimize the FRR. The optimized Zernike phase enhanced lens (ZPEL) imager design with one frame yields an improvement of nearly 33% relative to a thin observation module by bounded optics (TOMBO) imager with one frame. With four frames the optimized ZPEL imager achieves a FRR equal to that of the conventional imager without undersampling. Further, the ZPEL imager design using 16 frames yields a FRR that is actually 15% lower than that obtained with the conventional imager without undersampling.
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U2 - 10.1364/AO.49.000B26
DO - 10.1364/AO.49.000B26
M3 - Article
C2 - 20357839
AN - SCOPUS:77954067013
VL - 49
JO - Applied Optics
JF - Applied Optics
SN - 1559-128X
IS - 10
ER -