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Iris recognition has become an important tool for human authentication. An efficient and robust iris recognition model based on sparse representation using compressive sensing and k-nearest subspace (segments) has been proposed; k-nearest subspace approach is used for short listing the classes to reduce the time. The shortlisted candidates are divided into sectors and the sparse recognition is applied...
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