Abstract
Iris recognition is one of the important authentication mechanisms; authentication needs verification of individuals for uniqueness hence converting iris data into barcode is an appropriate in authenticating individuals to identify uniqueness. Such converted barcode is unique for every iris image. In iris recognition, most applications capture the eye image; extract the iris features and stores into the database in digitized form. The size of the digitized form is equal to or little less than original iris image. This as leads to the drawbacks such as more usage of memory and more time required for searching and matching operations. To overcome these drawbacks we propose an approach wherein we convert extracted iris features into barcodes. This transformation of iris into barcode reduces the space for storage and the time required for searching and matching operations, which are essential features in real time applications.
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Acknowledgments
The authors wish to thank CASIA and AICTE. “Portions of the research in this paper use the CASIA-IrisV3 collected by the Chinese Academy of Sciences’ Institute of Automation (CASIA)” and a reference to “CASIA-IrisV3, http://www.cbsr.ia.ac.cn/IrisDatabase.htm”. The work is partially supported by the Research Grant from AICTE, Govt. of India, Reference No: 8023/RID/RPS-114(PVT)/2011-12 Dated December, 24-2011.
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Appendix 1
Appendix 1
Aztec Symbols mapping value table
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Kulkarni, S.B., Hegadi, R.S. & Kulkarni, U.P. Iris data encryption based on Aztec Symbology. Evolving Systems 4, 203–217 (2013). https://doi.org/10.1007/s12530-013-9075-8
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DOI: https://doi.org/10.1007/s12530-013-9075-8