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Texture synthesis and modified filter bank in contourlets for improved iris recognition

  • P. V. L. Suvarchala
  • S. Srinivas Kumar
Industrial and Commercial Application

Abstract

Iris recognition in the presence of eyelash occlusions is a challenging task over the years since it has begun. The active area captured under non-ideal imaging conditions usually suffers from low contrast, poor brightness, blur due to camera or subject’s relative motion and particularly eyelash and eyelid occlusions. Accurate segmentation methods avoid occlusions to some extent but not completely always. In the proposed method, pixel-wise texture synthesis is done on occluded regions which improves the correct recognition rate (CRR). The contourlet transform which is a multiresolution tool, decomposes an image into different scales and directions with the help of pyramidal and directional filter bank (PDFB). A new FIR filter named as SSK filter is proposed by the authors for the PDFB in contourlets to extract apt features of iris such that the CRR is further improved. The performance of the proposed method is checked against CASIA-Iris-Interval (V3), IITD, CASIA-V1 and UBIRIS-V1 iris databases, and from the results obtained, it is proved that the proposed method is very much worthwhile for improved iris recognition even in the presence of eyelash and eyelid occlusions.

Keywords

Iris recognition Texture synthesis Eyelash and eyelid occlusions Contourlets SVMs 

Notes

Acknowledgements

Special thanks to Dr. B. Chandra Mohan, Professor and Head, Department of Electronics and Communication Engineering, BEC, Baptla, AP, India, for his support while carrying the experiments.

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Copyright information

© Springer-Verlag London Ltd., part of Springer Nature 2018

Authors and Affiliations

  1. 1.Department of ECEJNTUKKakinadaIndia
  2. 2.Department of ECE, JNTUK, on Deputation as VC, JNTUAAnanthapurIndia

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