Pupil Recognition Using Wavelet and Fuzzy Linear Discriminant Analysis
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As the world is becoming increasingly more insecure, people are looking for new forms of security which are more reliable. Pupil recognition is one of the most promising technique for identifying a person compared to any other biometrics. In the proposed algorithm features are extracted using Fisher Discriminant Analysis combined with Fuzzy membership. Euclidean classifier is applied to measure the similarity degree of two iris class and pupil recognition is done by measuring the radius of each pupil. Decision is made using rank level fusion and ranks of individual persons are calculated using...
As the world is becoming increasingly more insecure, people are looking for new forms of security which are more reliable. Pupil recognition is one of the most promising technique for identifying a person compared to any other biometrics. In the proposed algorithm features are extracted using Fisher Discriminant Analysis combined with Fuzzy membership. Euclidean classifier is applied to measure the similarity degree of two iris class and pupil recognition is done by measuring the radius of each pupil. Decision is made using rank level fusion and ranks of individual persons are calculated using Borda count and logistic regression approaches.
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