Bi-Local Region Based Iris Segmentation Framework for Less-Constrained Visible Wavelength Images

Iris recognition systems often degrade in performance when the subjects' cooperation is not expected in a less-constrained environment captured from a greater distance by visible wavelength imaging system. Algorithms in this field have reported inaccurate segmentations due to non-circular geome...

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Veröffentlicht in:	7th International Conference on Imaging for Crime Detection and Prevention (ICDP 2016) S. 22
Hauptverfasser:	Chai, T.Y, Goi, B.M, Tay, Y.H, Teng, K.S, Yeo, I
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	Stevenage, UK IET 2016 The Institution of Engineering & Technology
Schlagworte:	Algorithms Biometric recognition systems Computer vision and image processing techniques Contours Image processing Image recognition Image segmentation Interpolation and function approximation (numerical analysis) Object recognition Performance degradation Shape bilocal region based iris segmentation framework NICE.II database splines (mathematics) less-constrained visible wavelength image NICE.I database noncooperative subject image processing step visible wavelength imaging system image segmentation B-spline formulation iris recognition often system active contour based method contour evolution computational power iris noncircular geometry local region based active contour model iris recognition
ISBN:	1785614002, 9781785614002
Online-Zugang:	Volltext
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