Iris Verification Based On Iris Feature and Secret Pseudo-Random Number

نویسندگان

  • CHONG SIEW CHIN
  • ANDREW TEOH
  • BENG JIN
چکیده

An iris verification system based on the integration of secret pseudo-random number and the userspecific iris feature, which generated from the ID Log-Gabor filters, to produce a unique compact binary code per person is proposed in this paper. This dual factor authentication approach coined as S-Iris Ecoding has significant functional advantages over solely biometrics such as token replacement. In addition, the risk of security threats can be greatly reduced such as iris fabrication. Experimental results show that this method has good performance over traditional iris verification in which perfect verification rate of the genuine and imposter populations can be produced. By applying S-Iris Encoding, the original iris feature length is notably reduced to around 5% of the original size and a 0.0025% ≈ 0% of EER can be achieved.

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

A Fast Localization and Feature Extraction Method Based on Wavelet Transform in Iris Recognition

With an increasing emphasis on security, automated personal identification based on biometrics has been receiving extensive attention. Iris recognition, as an emerging biometric recognition approach, is becoming a very active topic in both research and practical applications. In general, a typical iris recognition system includes iris imaging, iris liveness detection, and recognition. This rese...

متن کامل

A New IRIS Segmentation Method Based on Sparse Representation

Iris recognition is one of the most reliable methods for identification. In general, itconsists of image acquisition, iris segmentation, feature extraction and matching. Among them, iris segmentation has an important role on the performance of any iris recognition system. Eyes nonlinear movement, occlusion, and specular reflection are main challenges for any iris segmentation method. In thi...

متن کامل

A New IRIS Segmentation Method Based on Sparse Representation

Iris recognition is one of the most reliable methods for identification. In general, itconsists of image acquisition, iris segmentation, feature extraction and matching. Among them, iris segmentation has an important role on the performance of any iris recognition system. Eyes nonlinear movement, occlusion, and specular reflection are main challenges for any iris segmentation method. In thi...

متن کامل

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

Empirical tests on BioHashing

Given the recent explosion of interest in human authentication, verification based on tokenised pseudo-random numbers and userspecific biometric feature (BioHashing) has received much attention. The purpose of our paper is to investigate the pros and the cons of BioHashing. In particular we study: how to combine BioHashing in a multi-modal fusion approach based on the integration of face and fi...

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