%0 Conference Proceedings
%T Mahalanobis Distance-Based Algorithm for Ellipse Growing in Iris Preprocessing
%+ Faculty of Physics and Applied Computer Science [Kraków] (FPACS)
%+ Faculty of Mathematics and Computer Science of the Jagiellonian University
%A Misztal, Krzysztof
%A Tabor, Jacek
%Z Part 4: Pattern Recognition and Image Processing
%< avec comité de lecture
%( Lecture Notes in Computer Science
%B 12th International Conference on Information Systems and Industrial Management (CISIM)
%C Krakow, Poland
%Y Khalid Saeed
%Y Rituparna Chaki
%Y Agostino Cortesi
%Y Sławomir Wierzchoń
%I Springer
%3 Computer Information Systems and Industrial Management
%V LNCS-8104
%P 158-167
%8 2013-09-25
%D 2013
%R 10.1007/978-3-642-40925-7_16
%K Mahalanobis distance
%K ellipse growing
%K ellipse detection
%K pattern recognition
%K feature extraction
%Z Computer Science [cs]
%Z Humanities and Social Sciences/Library and information sciencesConference papers
%X 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.
%G English
%Z TC 8
%2 https://inria.hal.science/hal-01496062/document
%2 https://inria.hal.science/hal-01496062/file/978-3-642-40925-7_16_Chapter.pdf
%L hal-01496062
%U https://inria.hal.science/hal-01496062
%~ SHS
%~ IFIP-LNCS
%~ IFIP
%~ IFIP-TC
%~ IFIP-TC8
%~ IFIP-CISIM
%~ IFIP-LNCS-8104