Improved Feature Processing for Iris Biometric Authentication System

PCT No. PCT/GB94/01899 Sec. 371 Date Apr. 22, 1997 Sec. 102(e) Date Apr. 22, 1997 PCT Filed Sep. 1, 1994 PCT Pub. No. WO95/06887 PCT Pub. Date Mar. 9, 1995Various combinations of different optical features in a microlens screen are disclosed. In one arrangement, a screen is provided for depixelating purposes, comprising an array of transparent rectangular portions (14) in a light diffusing field (20) formed by minute closely packed microlenses of a graded refractive index type. In another arrangement, a screen formed with an array of integral graded refractive index lenses has surface refractive index lenses additionally provided by part-spherical embossments on a surface of the screen, the embossments being of one or more orders of magnitude greater in diameter than the graded refractive index lenses. There are also disclosed techniques for preventing light transmission through a microlens screen except through the microlenses, the use of microlens screens to improve the performance of solar panels and microlens screens conforming to a part-spherical surface.

[1]  Jafar M. H. Ali,et al.  An Iris Recognition System to Enhance E-security Environment Based on Wavelet Theory , 2003 .

[2]  Wei Shen,et al.  On Geometric and Orthogonal Moments , 2000, Int. J. Pattern Recognit. Artif. Intell..

[3]  Dexin Zhang,et al.  Personal Identification Based on Iris Texture Analysis , 2003, IEEE Trans. Pattern Anal. Mach. Intell..

[4]  Luís A. Alexandre,et al.  UBIRIS: A Noisy Iris Image Database , 2005, ICIAP.

[5]  Tieniu Tan,et al.  Iris recognition using circular symmetric filters , 2002, Object recognition supported by user interaction for service robots.

[6]  Richard P. Wildes,et al.  Iris recognition: an emerging biometric technology , 1997, Proc. IEEE.

[7]  A. Jensen,et al.  Ripples in Mathematics - The Discrete Wavelet Transform , 2001 .

[8]  John Daugman,et al.  How iris recognition works , 2002, IEEE Transactions on Circuits and Systems for Video Technology.

[9]  Seongwon Cho,et al.  Iris Recognition Using Wavelet Features , 2004, J. VLSI Signal Process..

[10]  Dexin Zhang,et al.  Local intensity variation analysis for iris recognition , 2004, Pattern Recognit..

[11]  T. Tan,et al.  Iris Recognition Based on Multichannel Gabor Filtering , 2002 .

[12]  Ashok A. Ghatol,et al.  Iris recognition: an emerging biometric technology , 2007 .

[13]  John Daugman,et al.  The importance of being random: statistical principles of iris recognition , 2003, Pattern Recognit..

[14]  Tai Sing Lee,et al.  Image Representation Using 2D Gabor Wavelets , 1996, IEEE Trans. Pattern Anal. Mach. Intell..

[15]  Boualem Boashash,et al.  A human identification technique using images of the iris and wavelet transform , 1998, IEEE Trans. Signal Process..

[16]  Michael Boyd,et al.  Iris Recognition , 2006 .

[17]  John Daugman,et al.  High Confidence Visual Recognition of Persons by a Test of Statistical Independence , 1993, IEEE Trans. Pattern Anal. Mach. Intell..

[18]  Okhwan Byeon,et al.  Efficient Iris Recognition through Improvement of Feature Vector and Classifier , 2001 .

[19]  Dexin Zhang,et al.  Efficient iris recognition by characterizing key local variations , 2004, IEEE Transactions on Image Processing.

[20]  Tieniu Tan,et al.  Biometric personal identification based on iris patterns , 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.

[21]  B. S. Manjunath,et al.  Texture Features for Browsing and Retrieval of Image Data , 1996, IEEE Trans. Pattern Anal. Mach. Intell..

[22]  Mayank Vatsa,et al.  Reducing the False Rejection Rate of Iris Recognition Using Textural and Topological Features , 2008 .

[23]  Stéphane Mallat,et al.  Singularity detection and processing with wavelets , 1992, IEEE Trans. Inf. Theory.