Implementation of iris occlusion estimation methods

Author

Ganorkar, S.R. ; Warne, Pawan

Author_Institution

Dept. of E & TC Eng., Savitribai Phule Pune Univ., Pune, India

fYear

2015

fDate

8-10 Jan. 2015

Firstpage

1

Lastpage

6

Abstract

This proposal presents an approach for an iris identification method for checking the identity of person using the unique nature of iris. The recognition system consist of segmentation stage which uses Hough transform and it will locate the circular iris and pupil area, occluding eyelids and eyelashes, reflections. The segmented iris area is normalized into rectangular block of fixed dimension. Phase, amplitude and surf descriptor points are used as three different features which uses Gabor filter and Surf algorithm for feature extraction purpose. The Hamming distance, Euclidean distance and Pearson-correlation test are used for matching stage of test and referenced image.

Keywords

Gabor filters; Hough transforms; feature extraction; image segmentation; iris recognition; Euclidean distance; Gabor filter; Hamming distance; Hough transform; Pearson-correlation; Surf algorithm; circular iris; feature extraction purpose; fixed dimension; iris identification method; iris occlusion estimation methods; person identity; pupil area; recognition system; rectangular block; referenced image; segmentation stage; surf descriptor points; Encoding; Feature extraction; Gabor filters; Hamming distance; Iris; Iris recognition; Transforms; Gabor Wavelet; Hamming Distance; Hough Transform; Pearson-correlation test; Surf Algorithm;

fLanguage

English

Publisher

ieee

Conference_Titel

Pervasive Computing (ICPC), 2015 International Conference on

Conference_Location

Pune

Type

conf

DOI

10.1109/PERVASIVE.2015.7086966

Filename

7086966