Open Science Research Excellence
@article{(International Science Index):,
  title    = {Performance Evaluation of Iris Region Detection and Localization for Biometric Identification System},
  author    = {Chit Su Htwe and  Win Htay},
  country   = {},
  abstract  = {The iris recognition technology is the most accurate,
fast and less invasive one compared to other biometric techniques
using for example fingerprints, face, retina, hand geometry, voice or
signature patterns. The system developed in this study has the
potential to play a key role in areas of high-risk security and can
enable organizations with means allowing only to the authorized
personnel a fast and secure way to gain access to such areas. The
paper aim is to perform the iris region detection and iris inner and
outer boundaries localization. The system was implemented on
windows platform using Visual C# programming language. It is easy
and efficient tool for image processing to get great performance
accuracy. In particular, the system includes two main parts. The first
is to preprocess the iris images by using Canny edge detection
methods, segments the iris region from the rest of the image and
determine the location of the iris boundaries by applying Hough
transform. The proposed system tested on 756 iris images from 60
eyes of CASIA iris database images.},
    journal   = {International Journal of Computer, Electrical, Automation, Control and Information Engineering},  volume    = {5},
  number    = {3},
  year      = {2011},
  pages     = {219 - 222},
  ee        = {},
  url       = {},
  bibsource = {},
  issn      = {eISSN:1307-6892},
  publisher = {World Academy of Science, Engineering and Technology},
  index     = {International Science Index 51, 2011},