A Novel Iris Recognition System Using Morphological Edge Detector and Wavelet Phase Features

نویسندگان

  • Ahmad Poursaberi
  • Babak N. Araabi
چکیده

Biometric identification technology has been associated generally with very costly top secure applications. In this paper, we suggest a new approach to iris recognition system. Morphological operators are used for iris edge detection. Simplicity and quickness of proposed edge detection method which is coping with binary images is considerable. Binary code representation via phase of Daubechies wavelet is gotten from each iris image and a minimum Euclidean distance classifier is applied for matching process. Experimental results on CUHK iris images database which has 250 iris images from 36 persons, shows the reliability and efficiency of the proposed algorithm.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Evaluation of the Parameters Involved in the Iris Recognition System

Biometric recognition is an automatic identification method which is based on unique features or characteristics possessed by human beings and Iris recognition has proved itself as one of the most reliable biometric methods available owing to the accuracy provided by its unique epigenetic patterns. The main steps in any iris recognition system are image acquisition, iris segmentation, iris norm...

متن کامل

A robust Iris recognition method on adverse conditions

As a stable biometric system, iris has recently attracted great attention among the researchers. However, research is still needed to provide appropriate solutions to ensure the resistance of the system against error factors. The present study has tried to apply a mask to the image so that the unexpected factors affecting the location of the iris can be removed. So, pupil localization will be f...

متن کامل

Iris Recognition System Using a Canny Edge Detection and a Circular Hough Transform

A biometric system provides automatic identification of an individual based on a unique feature or characteristic possessed by the individual. Iris recognition is regarded as the most reliable and accurate biometric identification system available. In this paper, we describe the novel techniques we developed to create an Iris Recognition System, in addition to an analysis of our results. We use...

متن کامل

Comparative Analysis of Robust Iris Recognition System Using Log Gabor Wavelet and Laplacian of Gaussian Filter

COMPARATIVE ANALYSIS OF ROBUST IRIS RECOGNITION SYSTEM USING LOG GABOR WAVELET AND LAPLACIAN OF GAUSSIAN FILTER Bhawna Chouhan1 and Shailja Shukla2 1M.E. VI SEM, JEC, Jabalpur, E-mail: [email protected] 2JEC, Jabalpur, E-mail: [email protected] A biometric system provides automatic identification of an individual based on a unique feature or characteristic possessed by the indivi...

متن کامل

Multi-algorithmic Iris Authentication System

The paper proposes a novel technique for iris recognition using texture and phase features. Texture features are extracted on the normalized iris strip using Haar Wavelet while phase features are obtained using LOG Gabor Wavelet. The matching scores generated from individual modules are combined using sum of score technique. The system is tested on database obtained from Bath University and Ind...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2005