Mahalanobis Distance-Based Algorithm for Ellipse Growing in Iris Preprocessing

Abstract : We introduce a new algorithm for ellipse recognition. The approach uses Mahalanobis distance and statistical and analytical properties of circular and elliptical objects. At first stage of the algorithm the starting configuration of initial ellipse is defined. Next we apply a condition which describes how much the shape is ellipse-like on the boundary points.The algorithm can be easily applied to detection of elliptical objects also on grayscale images. Moreover, we discuss the improvement in iris image preprocessing.
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Communication dans un congrès
Khalid Saeed; Rituparna Chaki; Agostino Cortesi; Sławomir Wierzchoń. 12th International Conference on Information Systems and Industrial Management (CISIM), Sep 2013, Krakow, Poland. Springer, Lecture Notes in Computer Science, LNCS-8104, pp.158-167, 2013, Computer Information Systems and Industrial Management. 〈10.1007/978-3-642-40925-7_16〉
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Krzysztof Misztal, Jacek Tabor. Mahalanobis Distance-Based Algorithm for Ellipse Growing in Iris Preprocessing. Khalid Saeed; Rituparna Chaki; Agostino Cortesi; Sławomir Wierzchoń. 12th International Conference on Information Systems and Industrial Management (CISIM), Sep 2013, Krakow, Poland. Springer, Lecture Notes in Computer Science, LNCS-8104, pp.158-167, 2013, Computer Information Systems and Industrial Management. 〈10.1007/978-3-642-40925-7_16〉. 〈hal-01496062〉

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