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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I am currently working as Assistant Professor in Avinashilingam Institute for Home Science and Higher Education for Women in the Department of Electronics and Communication Engineering. I done this project in the field of MATLAB. Hope this topic will be helpful for your references
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 112 pp. Englisch. Bestandsnummer des Verkäufers 9783659846939
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Malini G. MahalakshmiI am currently working as Assistant Professor in Avinashilingam Institute for Home Science and Higher Education for Women in the Department of Electronics and Communication Engineering. I done this project in the. Bestandsnummer des Verkäufers 385769784
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 112 pp. Englisch. Bestandsnummer des Verkäufers 9783659846939
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. Bestandsnummer des Verkäufers 9783659846939
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Taschenbuch. Zustand: Neu. Pupil Recognition Using Wavelet and Fuzzy Linear Discriminant Analysis | Mahalakshmi Malini G. | Taschenbuch | 112 S. | Englisch | 2018 | LAP LAMBERT Academic Publishing | EAN 9783659846939 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 113456733
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