1 March 2006 Use of one-dimensional iris signatures to rank iris pattern similarities
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Abstract
A one-dimensional approach to iris recognition is presented. It is translation-, rotation-, illumination-, and scale-invariant. Traditional iris recognition systems typically use a two-dimensional iris signature that requires circular rotation for pattern matching. The new approach uses the Du measure as a matching mechanism, and generates a set of the most probable matches (ranks) instead of only the best match. Since the method generates one-dimensional signatures that are rotation-invariant, the system could work with eyes that are tilted. Moreover, the system will work with less of the iris than commercial systems, and thus could enable partial-iris recognition. In addition, this system is more tolerant of noise. Finally, this method is simple to implement, and its computational complexity is relatively low.
© (2006) Society of Photo-Optical Instrumentation Engineers (SPIE)
Yingzi Du, Robert Ives, Delores M. Etter, Thad Welch, "Use of one-dimensional iris signatures to rank iris pattern similarities," Optical Engineering 45(3), 037201 (1 March 2006). https://doi.org/10.1117/1.2181140 . Submission:
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