Abstract
Iris detection fails at the iris localization stage pulling out of the sub-image from the original image; the objective of this paper is to realize the narrative approach for iris localization and to solve the localization problem in an image using a dominant localization max–min algorithm which increases accuracy and reduces the search time. In the proposed system Zadeh dominated fuzzy rule composition algorithm was used to create the dominant values by comparing the values with the neighbours in the meticulous route. This algorithm helps to localize the iris image with a precision of 98.6% and a search time of 8.4 ms.
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S G. Gino Sophia and V. Ceronmani Sharmila have no conflict of interest in their research work.
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This article does not contain any studies with animals performed by any of the authors. The database of Indian Institute of Delhi human eyes is involved, but the humans are not involved directly.
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Communicated by I. Perfilieva.
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Gino Sophia, S.G., Ceronmani Sharmila, V. Zadeh max–min composition fuzzy rule for dominated pixel values in iris localization. Soft Comput 23, 1873–1889 (2019). https://doi.org/10.1007/s00500-018-3651-6
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DOI: https://doi.org/10.1007/s00500-018-3651-6