A Method of Iris Recognition Based on Local Gray Minimum Values

Jing Lei Kang; Ye Cai Guo

doi:10.4028/www.scientific.net/AMM.198-199.310

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 198-199A Method of Iris Recognition Based on Local Gray...

A Method of Iris Recognition Based on Local Gray Minimum Values

Abstract:

Feature matching is a most important step of the iris recognition algorithm, directly determining the success or failure of iris recognition. In order to have a better performance in the iris recognition, a method of iris recognition based on local gray minimum values is proposed. This method firstly records the position of local gray minimum points in the iris region; the minimum consolidation method is used to compress the characteristic points, and then encoding the compression iris image after extracting features. Finally, do exclusive OR (XOR) operation between encoding and template information to get the final recognition results. The computer simulations show the proposed method has very good recognition performance.

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Periodical:

Applied Mechanics and Materials (Volumes 198-199)

Pages:

310-313

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.198-199.310

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Online since:

September 2012

Authors:

Jing Lei Kang, Ye Cai Guo

Keywords:

Encoding, Feature Matching, Gray Minimum Values, Iris Recognition

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