Study and Development of Iris Segmentation and Normalisation Techniques  

Abstract

There have been several implementations of security systems using biometric, especially for identification and verification cases. The term "biometrics" is derived from the Greek words bio (life) and metric (to measure). In other words, bio means living creature and metrics means the ability to measure an object quantitatively. An example of pattern used in biometric is the iris pattern in human eye. The iris pattern has been proved unique for each person. The iris recognition system consists of an automatic segmentation system that is based on the Hough transform, and is able to localize the circular iris and pupil region, occluding eyelids and eyelashes, and reflections. The extracted iris region was then normalized into a rectangular block with constant dimensions to account for imaging inconsistencies. Finally, the phase data from 1D Log-Gabor filters were extracted and quantized to four levels to encode the unique pattern of the iris into a bit-wise biometric template using Daugman’s rubber-sheet model. The Hamming distance was employed for classification of iris templates, and two templates were found to match if a test of statistical independence was failed. 

Authors and Affiliations

Anshu Parasha , Yogita Gulati,

Keywords

Related Articles

TPA BASED CLOUD STORAGE SECURITY TECHNIQUES  

Cloud Computing is the new trend to reduce the investment in business to satisfy the client needs using internet. The various cloud services provides infrastructure, software and platform. In cloud computing, data...

Positioning of mobile station using Received signal strength and Time of arrival  

Positioning of users or Mobile Station (MS) in cellular systems becomes an interesting topic since the related number of applications for the location information is growing rapidly. Deploying such applications wou...

SALT & PEPPER NOISE REMOVAL USING FUZZY BASED ADAPTIVE FILTER 

This paper is based on a novel of filter which includes detection and removal of salt & pepper noise using fuzzy based adaptive filter. Once the detection stage detects the noisy pixels, they are passed on to t...

“A Survey on Different Fingerprint Recognition Systems” 

In this paper we are comparing various fingerprint recognition system which are based on minutiae and ridge feature extraction. Here we are comparing various methods using minutiae features only or ridge features o...

Charismatic of Malware diffusion in distributed peer-to-peer networks 

in this paper, we articulate a reasoned sculpt to portray the diffusion of malware in distributed, Gnutella sort peer-to-peer networks and learning the charismatic allied with widen of malware. Using a segmented sculpts,...

Download PDF file
  • EP ID EP157034
  • DOI -
  • Views 93
  • Downloads 0

How To Cite

Anshu Parasha, Yogita Gulati, (2012). Study and Development of Iris Segmentation and Normalisation Techniques  . International Journal of Advanced Research in Computer Engineering & Technology(IJARCET), 1(5), 237-240. https://europub.co.uk/articles/-A-157034