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Proceedings Paper

On iris detection for mobile device applications
Author(s): Magdi A. Mohamed; Michel Sarkis; Ning Bi; Xin Zhong; Yingyong Qi
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Paper 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.

Paper Details

Date Published: 23 September 2014
PDF: 11 pages
Proc. SPIE 9217, Applications of Digital Image Processing XXXVII, 92171J (23 September 2014); doi: 10.1117/12.2063973
Show Author Affiliations
Magdi A. Mohamed, Qualcomm Technologies Inc. (United States)
Michel Sarkis, Qualcomm Technologies Inc. (United States)
Ning Bi, Qualcomm Technologies Inc. (United States)
Xin Zhong, Qualcomm Technologies Inc. (United States)
Yingyong Qi, Qualcomm Technologies Inc. (United States)


Published in SPIE Proceedings Vol. 9217:
Applications of Digital Image Processing XXXVII
Andrew G. Tescher, Editor(s)

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