On iris detection for mobile device applications

Magdi A. Mohamed; Michel Sarkis; Ning Bi; Xin Zhong; Yingyong Qi

doi:10.1117/12.2063973

23 September 2014 On iris detection for mobile device applications

Magdi A. Mohamed, Michel Sarkis, Ning Bi, Xin Zhong, Yingyong Qi

Proceedings Volume 9217, Applications of Digital Image Processing XXXVII; 92171J (2014) https://doi.org/10.1117/12.2063973
Event: SPIE Optical Engineering + Applications, 2014, San Diego, California, United States

Abstract

A novel transform called Gradient Direction Transform for fast detection of naturally curved items in digital images is described in this article. This general purpose image transform is defined to suit platforms with limited memory and processing footprints by utilizing only additions and simple shift and bitwise operations. We present this unique algorithmic approach in application to real world problems of iris detection. The new approach is tested on a large data set and the experiments show promising and superior performance compared to existing techniques.

Citation Download Citation

Magdi A. Mohamed, Michel Sarkis, Ning Bi, Xin Zhong, and Yingyong Qi "On iris detection for mobile device applications", Proc. SPIE 9217, Applications of Digital Image Processing XXXVII, 92171J (23 September 2014); https://doi.org/10.1117/12.2063973

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