Recognition of Human Iris Using Accurate Iris Map

Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2014, Vol 16, Issue 1

Abstract

 Personal identification based on Biometrics technology is a trend in future. Iris Recognition is regarded as a high accuracy verification technology when compared to traditional approaches. In real-time Iris Recognition, Iris Localization is very important step for Iris Recognition. So, the Iris Masks plays an important role in iris recognition. This Iris Mask indicates which part is occluded or contaminated by noisy image artifacts such as eyelashes, eyelids, eyeglasses frames, and specular reflections. If the Iris Mask is inaccurate, it will decrease its performance in Iris Recognition system. So, we use learning- based algorithms to estimate accurate Iris Masks from Iris Images, which propose to use Figueiredo and Jain’s Gaussian Mixture Models (FJ-GMMs) to model the underlying probabilistic distributions of both valid and invalid regions on iris images. We also explored possible features and found that Gabor Filter Bank (GFB) provides the most discriminative information for our goal. Finally, we applied Simulated Annealing (SA) technique to optimize the parameters of GFB in order to achieve the best recognition rate

Authors and Affiliations

T. Priyadharsini

Keywords

Related Articles

To Propose Improvement in Probability based object tracking technique for Multiple Object Tracking

Abstract: The object tracking is the technique which is used to track object from the image or from the video. The video consists of multiple frames and in each frame location of that object had been predicted. To predic...

A Study On Diffie Hellman Algorithm And Elliptic Curve Cryptography

Cryptography is the vast discipline to provide security at a greater level for our information. The Diffie Hellman (DH)Algorithm and Elliptic Currve Cryptography(ECC) are two different approaches to provide unique key. U...

 Mean shift segmentation on Enhanced Color image

 Abstract: This paper proposed the method of mean shift segmentation on Enhanced color image . Themethod applies the modified histogram equalization technique for enhancement of under illuminated colorimage and then...

 Machine Translation Approaches and Design Aspects

 Machine translation is a sub-field of computational linguistics that investigates the use of software to translate text or speech from one natural language to another. On a basic level, MT performs simple subst...

Tuning of Extended Kalman Filter for nonlinear State Estimation

Abstract: Kalman Filter is the most popular method for state estimation when the system is linear. State estimation is the typical issue in every part of engineering and science. But, for non linear systems, different ex...

Download PDF file
  • EP ID EP141696
  • DOI -
  • Views 105
  • Downloads 0

How To Cite

T. Priyadharsini (2014).  Recognition of Human Iris Using Accurate Iris Map. IOSR Journals (IOSR Journal of Computer Engineering), 16(1), 17-22. https://europub.co.uk/articles/-A-141696