Research on iris recognition algorithm based on the Snake model of Euclidean distance transformation

Author

Wang, Junsheng ; Yang, Huijun

Author_Institution

Coll. of Electr. Eng., Liaoning Univ. of Technol., Jinzhou, China

fYear

2012

fDate

June 30 2012-July 2 2012

Firstpage

345

Lastpage

348

Abstract

This article introduces a new energy expression method based on traditional Snake algorithm, which can improve shortcomings of traditional Snake algorithm, especially for the poor segmentation results about the complicated contour object. The experimental results show that the algorithm has better ability to detect the complex outline, and good results are obtained in the ANW feature extraction algorithm of iris image. Finally iris recognition is finished based on the curling round extraction.

Keywords

edge detection; feature extraction; image segmentation; iris recognition; ANW feature extraction algorithm; Euclidean distance transformation; Snake algorithm; Snake model; contour object segmentation; curling round extraction; expression method; iris image; iris recognition algorithm research; Computational modeling; Educational institutions; Euclidean distance; Feature extraction; Image edge detection; Iris recognition; Mathematical model; ANW extraction; Euclidean distance transform; Iris recognition; Snake model;

fLanguage

English

Publisher

ieee

Conference_Titel

System Science and Engineering (ICSSE), 2012 International Conference on

Conference_Location

Dalian, Liaoning

Print_ISBN

978-1-4673-0944-8

Electronic_ISBN

978-1-4673-0943-1

Type

conf

DOI

10.1109/ICSSE.2012.6257204

Filename

6257204