DocumentCode :
2455151
Title :
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
Link To Document :
بازگشت