Radii solaris extraction through primitive modelling

Authors:
Wang Junhui;Ma Lin;Wang Kuanquan;Li Naimin
Affiliations:
School of Computer Science and Technology, Harbin Institute of Technology, Harbin, P.R. China;School of Computer Science and Technology, Harbin Institute of Technology, Harbin, P.R. China;School of Computer Science and Technology, Harbin Institute of Technology, Harbin, P.R. China;School of Computer Science and Technology, Harbin Institute of Technology, Harbin, P.R. China
Venue:
ICMB'10 Proceedings of the Second international conference on Medical Biometrics
Year:
2010

Citing 3
Cited 0

Personal Identification Based on Iris Texture Analysis

IEEE Transactions on Pattern Analysis and Machine Intelligence
K-means clustering via principal component analysis

ICML '04 Proceedings of the twenty-first international conference on Machine learning
An Edge Detection Algorithm Based on Improved CANNY Operator

ISDA '07 Proceedings of the Seventh International Conference on Intelligent Systems Design and Applications

Quantified Score

Hi-index	0.00

Visualization

Abstract

On Iris, features such as lacunae, crypts, lines are closely related with diseases and health status of human body. As one of such features, Radii Solaris plays an important role in automatic diagnosis through iridology. In this paper, we present a novel Radii Solaris extraction method based on primitive definition. Firstly, Radii Solaris primitives are defined and standard templates are obtained from training iris data. Secondly, Radii Solaris is extracted from iris images according to standard template and primitive. Experimental results show that this method can obtain Radii Solaris' primitive and Radii Solaris' templates preferably which provide basis for future work, and get good recognition results.